{"data":[{"title":"AI Operations & RAG Architect","companyName":"Gatik AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://gatik.ai&size=128","companyWebsite":"https://gatik.ai","description":"<p>Gatik AI is hiring an AI Operations &amp; RAG Architect in Mountain View. Gatik is an autonomous logistics company deploying Level 4 freight trucks commercially; this role bridges raw company data with AI assistants so teams can use the world's best models safely and efficiently. You design and maintain the vector databases and data pipelines that power internal AI. You implement identity-aware retrieval governance ensuring AI outputs never leak sensitive data to unauthorized users. You build and tune AI agents using frameworks like LangChain, LlamaIndex, and Zapier. You administer the enterprise AI stack (Gemini CLI, Claude Code, Granola AI) across the organization. You protect against prompt injection, data poisoning, and shadow AI usage. You monitor LLM latency and token usage, and optimize embeddings and chunking strategies.</p>\n<p>Requirements: experience administering enterprise AI platforms (Gemini, Claude, ChatGPT). Strong Python for RAG pipelines and LLM API integration. Vector database familiarity (e.g., Pinecone) and AI orchestration knowledge. Understanding of IAM (Google/Okta) intersection with AI data retrieval. Knowledge of data privacy standards and PII masking in AI prompts.</p>\n<p>Work model: 5 days/week onsite in Mountain View. Compensation: $170,000 - $220,000.</p>","location":"Mountain View, CA","city":"Mountain View","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":170000,"salaryMax":220000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/gatikaiinc/jobs/4656692006"}],"postedAt":"2026-04-19T13:48:41.556Z","expiresAt":"2026-05-19T00:00:00.000Z","aiInfrastructure":["Anthropic","Gemini","OpenAI API","Pinecone"],"techStackTags":["Autonomous Vehicles","Python","RAG"],"agenticFrameworks":["LangChain","LlamaIndex"],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#3b1e7a","vibrant":"#6434cc","darkMuted":"#3b1e7a","lightMuted":"#3b1e7a","darkVibrant":"#331a69","lightVibrant":"#ae95e4"},"viewCount":87,"featuredAt":"2026-04-21T09:44:41.176Z","featuredUntil":"2026-05-21T09:44:41.176Z","featuredRenewalCount":0,"clickCount":18,"impressionCount":1099,"slug":"gatik-ai-ai-operations-and-rag-architect-zoPnGI","isFresh":true,"featured":true},{"title":"Software Engineer, Backend","companyName":"Cleric","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://cleric.ai&size=128","companyWebsite":"https://cleric.ai","description":"<p>Join us at Cleric. We're building an autonomous AI agent that investigates and resolves production incidents. Our agent combines LLMs with tools to understand systems, reason through problems, and take corrective actions — even for issues it hasn't seen before. Cleric is already running in production at high-scale companies across fintech, ride-sharing, and autonomous vehicles.</p>\n<h4>About the role:</h4>\n<p>We're hiring a Software Engineer, Backend to help build and scale our autonomous agent. This role is ideal for engineers who want to build, ship, and work on production AI systems in real-world environments. You'll work closely with senior engineers on agent reasoning, integrations, and runtime systems, contributing directly to real customer-facing functionality.</p>\n<h4>What you'll do:</h4>\n<ul><li>Contribute to autonomous agent capabilities and tool execution workflows</li><li>Build and extend integrations with production systems</li><li>Support development of agent evaluation and observability tooling</li><li>Work with senior engineers to design, implement, and ship features</li><li>Learn how to build reliable AI systems operating in production environments</li></ul>\n<h4>You have:</h4>\n<ul><li>1-2 years of professional software engineering experience</li><li>Strong fundamentals in software engineering and system design</li><li>Experience programming in Python (other languages a plus)</li><li>Interest in AI, ML, and agentic systems</li><li>A desire to learn quickly and work on real production problems</li></ul>\n<h4>Nice to have:</h4>\n<ul><li>Exposure to AI/ML systems or LLM-based products</li><li>Experience with distributed systems or cloud infrastructure</li><li>Startup or fast-paced team experience</li></ul>\n<h4>How we work:</h4>\n<ul><li>Small teams, big impact</li><li>Radical candor in a positive environment</li><li>In-person collaboration</li><li>AI-first in everything we do</li></ul>\n<h4>Interview process:</h4>\n<ul><li>Intro call &amp; technical screen</li><li>Software engineering session</li><li>System design</li><li>Bar raiser (product &amp; engineering practices)</li></ul>\n<p>All roles are in-person at our San Francisco office. Compensation: $140K - $170K.</p>","location":null,"city":null,"locationType":"onsite","employmentType":"full-time","seniority":"junior","salaryMin":140000,"salaryMax":170000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/cleric/2f5fa7c7-f065-4b29-b5e9-73177a95aee0"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c7c7c","vibrant":"#7f7f7f","darkMuted":"#3c3c3c","lightMuted":"#bcbcbc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":3,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":2,"impressionCount":35,"slug":"cleric-software-engineer-backend-jOz-XU","isFresh":true,"featured":false},{"title":"Senior Backend Engineer","companyName":"LlamaIndex","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://llamaindex.ai&size=128","companyWebsite":"https://www.llamaindex.ai","description":"<p>Join us and help shape the future of AI by defining the narrative around document understanding.</p>\n<p>About the Role<br/>LlamaIndex's backend application platform team is hiring for an experienced (4+ years) backend engineer excited to build new features and scale out our ingestion and AI systems. LlamaIndex is backed by Greylock and has grown significantly in the last year from a combination of open source and private enterprise interest. Our teams and positions offer terrific growth and ownership opportunities as we expand our engineering team to power our next phase of growth.</p>\n<p>Responsibilities</p>\n<ul><li>[Primary] Build out new features and scale our backend capabilities focused on scaling out our core APIs</li><li>Backend stack: Python, Node.JS, K8s, Terraform, Postgres, Temporal, etc.</li><li>[Secondary] Work closely with prospects and customers to build production solutions.</li></ul>\n<p>Qualifications</p>\n<ul><li>Experience with shipping completely new product features from scratch. Have gone from prototype to production serving end users in a short amount of time.</li><li>Shipped or otherwise interested in AI/LLM-native applications.</li><li>Iterated rapidly with customers or other engineers — translate user feedback into features back to proactive user discovery. Help jointly develop and iterate on product roadmap for core features.</li><li>Shipped applications at scale.</li></ul>\n<p>Location<br/>We offer a hybrid-friendly culture based out of our downtown San Francisco office.</p>\n<p>Why Join Us?</p>\n<ul><li>Impactful Mission: Work on innovative AI products that redefine how knowledge is accessed and utilized.</li><li>Collaborative Team: Join a team of passionate individuals committed to pushing the boundaries of technology.</li><li>Growth Opportunities: Be at the forefront of the AI revolution, with ample opportunities to grow alongside our scaling organization.</li></ul>\n<p>Additional Benefits</p>\n<ul><li>Competitive base salary and equity compensation</li><li>Comprehensive medical/dental/vision coverage for you and your family</li><li>Unlimited paid time off policy</li><li>Daily catered lunch and snacks in the San Francisco office</li></ul>\n<p>Compensation: $180K - $250K + Equity.</p>","location":"San Francisco, CA","city":"San Francisco","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":180000,"salaryMax":250000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Ashby","value":"https://jobs.ashbyhq.com/llamaindex/a2f14066-9e18-4da3-8861-2da3230e393c"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Kubernetes","Node.js","PostgreSQL","Python","Terraform"],"agenticFrameworks":["LlamaIndex"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#9c5488","vibrant":"#3eaffb","darkMuted":"#4f2c37","lightMuted":"#bc6897","darkVibrant":"#1c4c74","lightVibrant":"#917cfc"},"viewCount":1,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":30,"slug":"llamaindex-senior-backend-engineer-2a2yCP","isFresh":true,"featured":false},{"title":"Forward Deployed AI Engineer","companyName":"Defense Unicorns","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://defenseunicorns.com&size=128","companyWebsite":"https://defenseunicorns.com","description":"<p>EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION REQUIRES U.S. CITIZENSHIP. An active security clearance is preferred. Clearance eligibility is required.</p>\n<h4>About Defense Unicorns:</h4>\n<p>Defense Unicorns is veteran-founded and mission-driven. The company's vision is to advance freedom and independence globally by transforming how the U.S. Department of War builds, buys, delivers, and sustains software. We deliver secure, scalable software and AI solutions that function in cloud, on-prem, and tactical edge / air-gapped environments.</p>\n<p>In this role you will join a team building the backbone of modern defense software delivery, helping ensure warfighters can deploy the latest capabilities rapidly, securely, and reliably.</p>\n<h4>What You'll Do:</h4>\n<ul><li>Embed with strategic customers as a technical partner, working from problem discovery to solution implementation and customer adoption</li><li>Architect, build, deploy, and operate agentic Generative AI systems: APIs, data processing ETL pipelines, integration layers, Retrieval Augmented Generation, and context engineering</li><li>Work in cloud, on-prem, and edge/air-gapped environments to ensure software can run where the mission demands</li><li>Prototype and deploy systems leveraging the core products and design patterns of the Unicorn Delivery Service (UDS); bring back insights from the field for continuous product improvement</li><li>Scope, sequence, and lead delivery of solutions: define living roadmaps, set priorities, trade off speed vs quality vs scope</li><li>Codify reusable patterns for mission environments: build tools, internal frameworks, playbooks so future deployments are faster, safer, and repeatable</li><li>Act as the technical face to customer leadership</li></ul>\n<h4>What You'll Bring:</h4>\n<ul><li>3+ years of engineering or technical deployment experience (backend or full-stack), ideally in customer-facing or government environments (DoD, intelligence, public sector)</li><li>Strong backend engineering skills: production-grade code in Python or TypeScript</li><li>Deep familiarity with designing services, APIs, data pipelines, integrations, and backend frameworks</li><li>Familiarity with LLMs or generative AI systems, particularly context engineering</li><li>Strong ability to work in ambiguity</li><li>Excellent communication skills</li><li>Mission-oriented mindset</li></ul>\n<h4>Nice to Have:</h4>\n<ul><li>Experience with deploying applications on Kubernetes inside of air-gapped or secure environments</li><li>Information retrieval, RAG, keyword/vector search, document processing</li><li>Experience developing, executing, and maintaining LLM evaluations</li><li>Open source LLM/SLM model experience (Llama3, Mixtral, Gemma, Phi)</li></ul>\n<p>Salary Range: $148,750 - $201,250 USD.<br/>Benefits: Medical/dental/vision (company-paid), 401k, stock options, flexible PTO, parental leave, training reimbursement, home office budget.</p>","location":"United States - Remote","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":148750,"salaryMax":201250,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/defenseunicorns/jobs/5132886007"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Kubernetes","Python","TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#61839d","vibrant":"#d83a44","darkMuted":"#384668","lightMuted":"#acb4c4","darkVibrant":"#0d577f","lightVibrant":"#b1f4fc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":32,"slug":"defense-unicorns-forward-deployed-ai-engineer-QL5wLV","isFresh":true,"featured":false},{"title":"Senior Software Engineer, Backend","companyName":"Retell AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://retellai.com&size=128","companyWebsite":"https://www.retellai.com","description":"<p>About Retell AI<br/>Retell AI is using the first principles to reimagine the call center with cutting edge voice AI. Since launching 18 months ago, thousands of companies now utilize Retell's AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we have scaled to $36M ARR with a team of 20 people, up from $5M at the start of 2025.</p>\n<p>Our vision for 2026 is to build a modern CX platform where entire contact centers are powered by AI. Instead of basic automation that needs constant human tuning, we're creating intelligent AI 'workers' that can act as frontline agents, QA analysts, and managers — continuously executing, monitoring, and improving customer interactions.</p>\n<p>We're growing quickly and looking for ambitious builders who want to tackle hard technical problems, move fast, and have real impact at one of the fastest-growing voice AI startups.</p>\n<p>About the Role<br/>As a Senior Backend Engineer, you'll shape the core systems powering millions of AI-driven conversations. You'll tackle real-time audio, global telephony, and developer tooling, working across the stack with the founding team. This high-impact role offers rapid feedback loops, customer collaboration, and the chance to define a category-leading product.</p>\n<p>Key Responsibilities</p>\n<ul><li>Build foundational architecture for Retell's platform, such as prompt orchestration, testing frameworks, observability dashboards, and telephony integrations.</li><li>Design scalable backend systems and DevOps workflows for reliable performance across millions of calls.</li><li>Lead complex projects from architecture to production, driving delivery and monitoring.</li><li>Collaborate with product and design teams to create intuitive APIs and interfaces for quick customer onboarding.</li><li>Support customer onboarding, troubleshoot issues, and turn feedback into product improvements.</li></ul>\n<p>You Might Thrive If</p>\n<ul><li>Have 2+ years of backend development experience and a strong foundation in CS fundamentals (CS/CE/EE degree or equivalent).</li><li>Have worked on scalable, high-performance backend systems — especially anything involving concurrency, data, storage, or distributed components.</li><li>Take ownership like a founder and enjoy building core systems that need to be fast, reliable, and correct.</li><li>Thrive in fast-moving, ambiguous environments where you learn quickly and solve new technical problems.</li><li>Communicate clearly, collaborate well across teams, and move work forward with momentum.</li><li>Have startup experience or the grit to operate in a high-velocity environment.</li></ul>\n<p>Job Details</p>\n<ul><li>Cash: $200k - $300k</li><li>Equity: Offered</li><li>Location: Redwood City, CA, US</li><li>US Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.</li></ul>\n<p>Other Benefits</p>\n<ul><li>100% coverage for medical, dental, and vision insurance</li><li>$70/day DoorDash credit for unlimited breakfast, lunch, dinner, and snacks</li><li>$200/month wellness reimbursement</li><li>$300/month commuter reimbursement</li><li>$75/month phone bill reimbursement</li><li>$50/month internet reimbursement</li></ul>\n<p>Compensation Philosophy</p>\n<ul><li>Best Offer Upfront: Choose from three cash-equity balance options; no negotiation needed.</li><li>Top 1% Talent: Above-market pay (top 5 percentile) to attract exceptional builders.</li><li>High Ownership: Small teams, &gt;$1M revenue/employee, and significant equity.</li><li>Performance-Based: Offers tied to interview performance, not experience or past salaries.</li></ul>","location":"Redwood City, CA","city":"Redwood City","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":200000,"salaryMax":300000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Ashby","value":"https://jobs.ashbyhq.com/retell-ai/3e4fa860-4673-49bf-b577-57e73b6292fe"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":true,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#4c4c4c","vibrant":"#7f7f7f","darkMuted":"#040404","lightMuted":"#4c4c4c","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":28,"slug":"retell-ai-senior-software-engineer-backend-iC7gtz","isFresh":true,"featured":false},{"title":"AI Engineer - NYC","companyName":"Aegis AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://aegisai.ai&size=128","companyWebsite":"https://aegisai.ai","description":"<p>Aegis AI is a next-gen email security platform using autonomous AI agents to detect phishing, BEC, and zero-day threats — seamlessly integrating with Microsoft 365 and Google Workspace. The founding team is ex-Google engineers who built Safe Browsing (5B+ users) and reCAPTCHA (5M+ websites protected).</p>\n<p>Overview<br/>We're going after a $5B+ market, ripe for disruption. Traditional detection methods are too slow to keep up. Adversaries are using AI to craft customized, high-evasion attacks — and old-school rules-based systems don't stand a chance.</p>\n<p>Your Mission<br/>Architect a constellation of AI Agents — fast, cheap, and high-precision — that work together to detect and stop emerging threats. You'll live deep in live threat data, evolving your agents on the fly. These agents will operate under an orchestration layer designed for rapid iteration and adaptive learning.</p>\n<p>Why this is hard (aka Why It's Fun)</p>\n<ul><li>The models change daily. Literally. What worked yesterday might be obsolete tomorrow.</li><li>The adversaries are smart — and getting smarter. We're in a real-time arms race against AI-enabled attackers crafting tailored, evasive payloads.</li><li>There's no playbook. We're building new detection paradigms as fast as the threats evolve.</li><li>It's high-stakes, high-impact work — and you'll be in the arena from day one.</li></ul>\n<p>Why we'll win</p>\n<ul><li>The market is massive — $5B+ and growing fast — and incumbents are too slow to adapt.</li><li>We've done this before. Our team built the core technology behind Safe Browsing (5B+ users) and reCAPTCHA (protecting 5M+ websites) while at Google.</li><li>This is our third time building a category-defining security business.</li><li>AI and security are in our DNA. We don't bolt it on — we build it in from day one.</li><li>We only hire top performers. Most of our team were top 1% performers at Google.</li><li>We move fast. No politics. No hierarchy. Just brilliant people solving hard problems, together.</li></ul>\n<p>What we're looking for<br/>We want engineers who are outgrowing their current roles — people who want to build at the very edge of AI and cybersecurity. You thrive in relentless environments where learning curves are steep and every day is a new challenge. You care about speed, execution, and complete thinking more than resumes or titles. You think in weeks and days, not months and quarters.</p>\n<p>Our culture<br/>Flat, flexible, and fast. You'll own your decisions and your tech stack. You'll have clear KPIs for success — but how you get there is up to you. Development cycles are measured in days, not weeks.</p>\n<p>Requirements</p>\n<ul><li>2-10 years of experience</li><li>Direct experience with AI/ML systems</li><li>Experience building in fast paced environments</li></ul>\n<p>Bonus</p>\n<ul><li>Experience security/detection systems</li><li>Experience working in adversarial environments (T&amp;S, security, fraud)</li></ul>\n<p>Full-time. New York City, NY (US-based, onsite). Backed by Decibel and ex-Google security leadership ($13M raised).</p>","location":"New York, NY","city":"New York","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/aegis-ai/dcfcdd5e-968c-4920-92ec-592225c0234b"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c7c7c","vibrant":"#7f7f7f","darkMuted":"#3a3a3a","lightMuted":"#4c4c4c","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":30,"slug":"aegis-ai-ai-engineer-nyc-BFe7_p","isFresh":true,"featured":false},{"title":"Senior Forward Deployed Engineer","companyName":"CollectWise","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://collectwise.com&size=128","companyWebsite":"https://collectwise.com","description":"<p>CollectWise (YC F24) is using generative AI to automate consumer debt collection, a $35B market in the US alone, with voice AI agents already outperforming human collectors by 2X.</p>\n<p>As a Senior Forward Deployed Engineer in NYC, you'll lead customer implementations end-to-end at the intersection of engineering and operations.</p>\n<h4>Day-to-day:</h4>\n<ul><li>Develop custom integrations with client systems</li><li>Configure and deploy AI agents for each client (prompts, workflows, data transfers)</li><li>Create solutions using modern back-end frameworks</li><li>Translate customer requirements into technical specifications</li><li>Build internal tools to streamline implementations</li></ul>\n<p>The team scaled to $2M ARR in months.</p>\n<h4>Requirements:</h4>\n<ul><li>1+ years engineering experience</li><li>Proficiency with Node.js, React.js, AWS, and SQL</li><li>Production environment experience</li><li>Strong communication and work ethic</li></ul>\n<h4>Preferred:</h4>\n<ul><li>Experience or interest in voice AI</li></ul>\n<p>Location: New York, NY (onsite). US citizen or visa holder only.</p>\n<p>Compensation: $240,000 - $300,000 base + 0.10% - 1.00% equity.</p>","location":"New York, NY","city":"New York","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":240000,"salaryMax":300000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://www.ycombinator.com/companies/collectwise/jobs/rEWfZ6R-senior-forward-deployed-engineer"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS","Node.js","React","SQL"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#044394","vibrant":"#0770f7","darkMuted":"#044394","lightMuted":"#044394","darkVibrant":"#043c84","lightVibrant":"#7eb4fb"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":32,"slug":"collectwise-senior-forward-deployed-engineer-6SiF2g","isFresh":true,"featured":false},{"title":"Senior Machine Learning Engineer, Zeitgeist, Personalization","companyName":"Spotify","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://spotify.com&size=128","companyWebsite":"https://spotify.com","description":"<p>The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music, podcasts, and listeners better than anyone else and by leveraging the latest in Generative AI. Join us and you'll give millions of listeners great music and talk experiences, personalized to each and every one of them.</p>\n<p>The AI Foundation team within Personalization provides the state-of-the-art foundational data and tech with which we are inventing and shipping new interactive, personalized listening experiences. This is a team of about a hundred AI/ML Engineers, Applied Research Scientists, Product Managers, and domain experts.</p>\n<p>You'll join the Zeitgeist squad within the AI Foundation team. We focus on building the systems and models that help Spotify understand culture in real time — what's trending, why it matters, and how it shapes listening. You'll leverage large language models and agentic workflows, and work closely with engineers, data scientists, and product partners to turn signals into meaningful user experiences. This is an exciting mix of platform-level content understanding and experience-level user presentation.</p>\n<p>What You'll Do</p>\n<ul><li>Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge, used by hundreds of millions of Spotify users</li><li>Develop and maintain pipelines for extracting, structuring, and serving cultural signals at scale, leveraging LLMs and agentic workflows</li><li>Partner closely with teams across Personalization to integrate foundational cultural data and tech into new agentic listening experiences</li><li>Own components end-to-end — from data pipelines and model training to production serving and monitoring</li><li>Design and build evaluation tooling (including LLM-as-judge frameworks and dataset analysis), and run experiments to evaluate the impact of cultural context signals on user experience and engagement</li><li>Help define the technical direction of the squad, contributing to architecture decisions, and shaping what building \"0-to-1\" experiences looks like in practice</li></ul>\n<p>Who You Are</p>\n<ul><li>You have 5+ years of experience building and shipping machine learning models end-to-end</li><li>You have a strong foundation in Python (Java and Scala are a plus) and experienced with GCP tools (e.g. Dataflow, BigQuery)</li><li>You have hands-on experience with LLMs and agent orchestration frameworks (e.g. LangChain, LlamaIndex, Pydantic), building tool-calling agents, RAG, and vector databases</li><li>You have built and shipped production-scale, data-driven AI/ML systems, ideally in content understanding, knowledge graphs, NLP, MIR, or related domains</li><li>You are excited but not overhyped by the potential of Generative AI</li><li>You're comfortable operating as a 0-to-1 builder — you thrive in ambiguous, exploratory spaces and can move from idea to experimentation to production with confidence</li><li>You care about building inclusive, user-centric products, and you think about AI and ML in the context of products and user impact, not just tech</li><li>You have worked effectively in collaborative, cross-functional environments</li><li>You care deeply about code quality, reliability, and scalability</li></ul>\n<p>Where You'll Be</p>\n<ul><li>This role is based in New York</li><li>We offer you the flexibility to work where you work best. There will be some in person meetings, but still allows for flexibility to work from home</li></ul>\n<p>The United States base range for this position is $184,050 - $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.</p>","location":"New York, NY","city":"New York","locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":184050,"salaryMax":262928,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.lever.co/spotify/351ad979-231f-4bee-ae49-8ff55b64f605"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["BigQuery","GCP","Python"],"agenticFrameworks":["LangChain","LlamaIndex","Pydantic AI"],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#11873d","vibrant":"#1cdc64","darkMuted":"#11873d","lightMuted":"#11873d","darkVibrant":"#0e7535","lightVibrant":"#89f0af"},"viewCount":5,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":80,"slug":"spotify-senior-machine-learning-engineer-zeitgeist-personalization-I-aM1x","isFresh":true,"featured":false},{"title":"Staff AI Engineer | US | Remote (Marketing Ops)","companyName":"Grafana Labs","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://grafana.com&size=128","companyWebsite":"https://grafana.com","description":"<p>Grafana Labs is a remote-first, open-source powerhouse with over 20M users globally. This is a remote opportunity for candidates in the U.S.</p>\n<h4>The Opportunity:</h4>\n<p>Grafana Labs is seeking a Staff Engineer (AI &amp; Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily.</p>\n<p>This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them.</p>\n<h4>What You'll Be Doing:</h4>\n<h4>Agentic Systems &amp; AI Infrastructure:</h4>\n<ul><li>Own end-to-end development of multi-agent AI systems</li><li>Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar)</li><li>Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)</li><li>Implement observability and feedback loops (logging, performance metrics, prompt iteration, model evaluation, cost management)</li><li>Establish governance and compliance standards for AI workflows</li></ul>\n<h4>Systems Integration &amp; Backend Services:</h4>\n<ul><li>Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems</li><li>Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context</li><li>Build serverless or containerized services (GCP Cloud Functions, Cloud Run)</li></ul>\n<h4>Automation &amp; Workflow Enablement:</h4>\n<ul><li>Partner with RevOps and SDR teams on high-impact automation</li><li>Design workflows using orchestration tools with CI/CD standards</li><li>Enable self-service systems with documentation and playbooks</li></ul>\n<h4>Requirements:</h4>\n<ul><li>8+ years software engineering (backend, systems integration, or data/analytics)</li><li>2+ years applying LLMs/AI to production workflows</li><li>Proficiency in Python and JavaScript/Node.js</li><li>Hands-on experience with LLM frameworks, prompt engineering, RAG, function calling, and evaluation</li><li>Experience building and operating multi-agent systems at scale</li><li>Deep familiarity with Google Cloud Platform and BigQuery</li><li>Understanding of LLM failure modes and production mitigations</li></ul>\n<h4>Bonus:</h4>\n<ul><li>Vector database experience (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)</li><li>Marketing/sales platform familiarity (Salesforce, HubSpot, Marketo)</li><li>AI observability tooling (LangSmith, Weights &amp; Biases)</li><li>Workflow orchestration (n8n, Temporal, Prefect, Airflow)</li><li>Model Context Protocol (MCP) experience</li></ul>\n<p>Compensation: $174,986 - $209,983 USD base, plus RSUs.<br/>Benefits: 100% remote global culture, 30 days annual leave + 3 Grafana Shutdown Days, in-person onboarding.</p>","location":"United States (Remote)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"staff","salaryMin":174986,"salaryMax":209983,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/grafanalabs/jobs/5806328004"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Anthropic","Chroma","Gemini","LangSmith","MCP","OpenAI API","Pinecone","Weaviate","pgvector"],"techStackTags":["BigQuery","GCP","Node.js","Python"],"agenticFrameworks":["CrewAI","LangChain","n8n"],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#913e07","vibrant":"#f47c2c","darkMuted":"#913e07","lightMuted":"#915f07","darkVibrant":"#7e3606","lightVibrant":"#f4ac2c"},"viewCount":2,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":83,"slug":"grafana-labs-staff-ai-engineer-or-us-or-remote-marketing-ops-Hg9k3P","isFresh":true,"featured":false},{"title":"Research Engineer","companyName":"Factory","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://factory.ai&size=128","companyWebsite":"https://factory.ai","description":"<p>About Factory<br/>Factory builds software development agents for major enterprises including Nvidia and Adobe, backed by investors like Khosla Ventures and Sequoia with a recent $150M Series C funding round.</p>\n<p>About the Role<br/>Factory seeks Research Engineers to design and integrate advanced AI and ML capabilities that revolutionize productivity within software organizations. We're hiring Research Engineers to create advanced AI/ML systems that enhance software development productivity.</p>\n<p>Responsibilities</p>\n<ul><li>Design, develop, and deploy AI-driven agentic systems that enhance Factory's core AI capabilities, focusing on retrieval, code generation evaluation, and agent architecture.</li><li>Collaborate with product teams to translate emerging AI research into practical solutions.</li><li>Rapid prototyping based on developer feedback; iterate based on real-world feedback.</li><li>Address platform stability and scalability challenges at scale.</li></ul>\n<p>Required Skills</p>\n<ul><li>2+ years hands-on AI/ML engineering experience post-degree.</li><li>Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field.</li><li>Proficiency with Large Language Models (LLMs).</li><li>Problem-solving with complex, unstructured data.</li><li>Track record applying ML to complex problems.</li><li>Strong communication and strategic thinking.</li><li>Self-motivated approach to navigating research projects from conception to deployment.</li><li>Data-intensive application experience (desirable).</li><li>Software development lifecycle familiarity (preferred).</li></ul>\n<p>Work Arrangement<br/>This is an in-office role, 5 days per week at our San Francisco office (walking distance to Caltrain).</p>","location":"San Francisco, CA","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://factory.ai/careers/research-engineer"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c7c7c","vibrant":"#7f7f7f","darkMuted":"#444444","lightMuted":"#bcbcbc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":1,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":33,"slug":"factory-research-engineer-Ch7lxM","isFresh":true,"featured":false},{"title":"Senior Forward Deployed Engineer","companyName":"Retell AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://retellai.com&size=128","companyWebsite":"https://www.retellai.com","description":"<p>About Retell AI<br/>Retell AI is using the first principles to reimagine the call center with cutting edge voice AI. Since launching 18 months ago, thousands of companies now utilize Retell's AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we have scaled to $36M ARR with a team of 20 people, up from $5M at the start of 2025.</p>\n<p>Our vision for 2026 is to build a modern CX platform where entire contact centers are powered by AI. Instead of basic automation that needs constant human tuning, we're creating intelligent AI 'workers' that can act as frontline agents, QA analysts, and managers — continuously executing, monitoring, and improving customer interactions.</p>\n<p>About the Role<br/>As a Senior Forward Deployed Engineer, you'll deliver Retell's voice AI solutions to enterprise clients, embedding with their teams to build production-ready systems. You'll bridge technical and non-technical stakeholders with exceptional communication, driving adoption and shaping our platform through customer insights.</p>\n<p>Key Responsibilities</p>\n<ul><li>Lead end-to-end delivery of projects using Retell's voice agent platform — from prototyping to production, communicating progress and risks clearly.</li><li>Become go-to experts on building voice AI solutions, especially LLM prompting tips &amp; tricks.</li><li>Build full-stack integrations (Python, JavaScript) with enterprise tools (e.g. CRMs, ERPs, scheduling tools).</li><li>Partner with sales to engage clients to gather requirements, prototype demos, and present system designs.</li><li>Scope projects, resolve blockers, and align teams with concise updates.</li><li>Codify reusable patterns into tools or platform components.</li><li>Translate field feedback into actionable product and GTM recommendations.</li></ul>\n<p>You Might Thrive If</p>\n<ul><li>Have 2+ years in customer-facing technical roles (e.g., Solutions Engineer, Technical PM, Customer Success/Support engineer, Ex-founder).</li><li>Excel at communication &amp; explaining complex technical concepts to non-technical audiences.</li><li>Have delivered systems in fast-paced, ambiguous settings.</li><li>Write production-grade code (Python, JavaScript, or similar).</li><li>Understand LLM-powered systems and their impact on user experience.</li><li>Proactively manage risks and maintain momentum under pressure.</li></ul>\n<p>Job Details</p>\n<ul><li>Cash: $180k - $300k</li><li>Equity: Offered</li><li>Location: Redwood City, CA, US</li><li>US Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.</li></ul>\n<p>Other Benefits</p>\n<ul><li>100% coverage for medical, dental, and vision insurance</li><li>$70/day DoorDash credit for unlimited breakfast, lunch, dinner, and snacks</li><li>$200/month wellness reimbursement</li><li>$300/month commuter reimbursement</li><li>$75/month phone bill reimbursement</li><li>$50/month internet reimbursement</li></ul>","location":"Redwood City, CA","city":"Redwood City","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":180000,"salaryMax":300000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Ashby","value":"https://jobs.ashbyhq.com/retell-ai/5652ab47-6c89-4889-a507-7a3a943c3669"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["JavaScript","Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":true,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#4c4c4c","vibrant":"#7f7f7f","darkMuted":"#040404","lightMuted":"#4c4c4c","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":29,"slug":"retell-ai-senior-forward-deployed-engineer-jvN2yX","isFresh":true,"featured":false},{"title":"Product Engineer","companyName":"Imbue","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://imbue.com&size=128","companyWebsite":"https://imbue.com","description":"<h4>About Us:</h4>\n<p>Imbue is a radically different AI company. We believe that data should belong to you, humans should come before technology, and that everyone deserves to have their own personal team of AI agents. We're building tools for you to create open agents — AI agents that you can modify to do exactly what you want.</p>\n<p>Our first product is Sculptor, an interface for programmers to run coding agents in parallel and stay in flow. We're working to make Sculptor better and easier to use every day, with the hope of eventually making products that allow anyone to create custom agents and software (not just programmers).</p>\n<p>We're supported by investors like Nvidia, Simon Last (co-founder of Notion), and Eric Schmidt (former CEO of Google), with $200M raised at over $1B valuation.</p>\n<h4>Summary:</h4>\n<p>In this role, you'll have the unique opportunity to shape our product and help build 0-1 — not just the technologies that we use, but the overall direction of our product as it evolves. You will be responsible for building across our entire stack, understanding customer needs, and contributing to our product roadmap.</p>\n<p>This role is a particularly good fit for anyone who either has previously been, or would like to be, a founder of a software product company. We are looking primarily for good product intuition and judgment — someone who understands what actually matters and then makes that happen.</p>\n<h4>Example Projects:</h4>\n<ul><li>Conduct user interviews and ask insightful questions while shadowing current or potential users</li><li>Implement rough prototypes for potential product ideas or iterations</li><li>Collect, parse, and ideate on feedback generated from both internal and external users</li><li>Quickly assemble code abstractions to enable fast iteration, and exercise judgment to delete code that doesn't contribute as strongly to product fit</li><li>Ship backend and frontend code against various interfaces (web, CLI, IDE, etc.)</li><li>Collaborate with our product design team to transform promising ideas into new product features</li></ul>\n<h4>You Are:</h4>\n<ul><li>A builder at heart</li><li>Motivated by solving real problems for real customers</li><li>Energized by understanding and talking to users</li><li>Someone that loves to sweat the details</li><li>Able to navigate ambiguity and work independently without explicit directions</li><li>Either experienced or interested in being a founder of a software product company</li><li>Experienced with React/TypeScript and Python</li></ul>\n<h4>Compensation and Benefits:</h4>\n<ul><li>Competitive compensation, equity, and benefits</li><li>Lunch provided daily to onsite employees</li><li>$250 lifestyle stipend per month</li><li>Generous budget for self-improvement: coaching, courses, conferences, etc.</li><li>Actively co-create and participate in a positive, intentional team culture</li><li>Spend time learning, reading papers, and deeply understanding prior work</li><li>Frequent team events, dinners, off-sites, and hanging out</li><li>Compensation range for this role is $170,000 - $350,000 cash (plus equity)</li></ul>\n<h4>How to Apply:</h4>\n<p>All submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it.</p>","location":"San Francisco, CA","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":170000,"salaryMax":350000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/imbue/jobs/4010186009"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Python","React","TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#960802","vibrant":"#f40d04","darkMuted":"#960802","lightMuted":"#8c3a0c","darkVibrant":"#820602","lightVibrant":"#f4ac84"},"viewCount":1,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":46,"slug":"imbue-product-engineer-j6upZ0","isFresh":true,"featured":false},{"title":"Senior ML / AI Engineer","companyName":"Confido","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://confidotech.com&size=128","companyWebsite":"https://www.confidotech.com","description":"<p>Confido is the AI infrastructure powering CPG brands from deduction to production plan. We unify cash application, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics in one integrated platform. Trusted by 200+ brands managing $20B+ in revenue, including OLIPOP, Simple Mills, Dr. Squatch, and Tropicana. Recently raised a $15M Series A led by Footwork Ventures and Y Combinator.</p>\n<p>As a Senior AI / ML Engineer, you will help build the core AI systems powering the Confido platform — from LLM-powered document understanding to predictive models that help brands make better decisions. You'll work closely with engineering and product to bring AI capabilities from research to production.</p>\n<p>Location: New York, NY (Relocation supported)</p>\n<h4>What You'll Do:</h4>\n<ul><li>Own the AI/ML lifecycle: research, prototyping, production deployment, monitoring</li><li>Build systems that extract structured data from complex financial documents</li><li>Develop agentic workflows that retrieve and reason over fragmented enterprise systems</li><li>Build predictive models to forecast brand sales and financial performance</li><li>Detect anomalies in retailer and sales data</li><li>Develop recommendation systems that optimize retailer promotions</li><li>Partner with engineering and product to integrate AI capabilities into the platform</li></ul>\n<h4>Example Problems:</h4>\n<ul><li>AI-powered ingestion of invoices, deductions, and retailer reports</li><li>Agent workflows that retrieve data from legacy systems</li><li>Sales forecasting models for large CPG brands</li><li>Anomaly detection across retailer performance data</li><li>Promotion optimization models</li></ul>\n<h4>Required:</h4>\n<ul><li>2+ years of applied AI / ML experience</li><li>6+ years of production-level software engineering experience</li><li>Experience building and deploying production ML systems</li><li>Experience working with LLMs or NLP systems</li><li>Strong product mindset and ability to translate AI capabilities into real-world applications</li></ul>\n<h4>Nice to Have:</h4>\n<ul><li>Experience fine-tuning LLMs (Llama, GPT, etc.)</li><li>Experience building agentic workflows or retrieval systems</li><li>Startup experience</li></ul>\n<h4>Perks + Benefits:</h4>\n<ul><li>Equity, paid relocation, unlimited PTO</li><li>401(K) through Vestwell</li><li>Provided MacBook</li><li>Fully paid health, dental, and vision plans</li><li>Catered Friday lunches, nightly team dinners past 6:30pm</li></ul>","location":null,"city":null,"locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":210000,"salaryMax":280000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/confido/3a930957-91a1-469e-b1b2-d11c6d5ba8b4"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7a7978","vibrant":"#c8c836","darkMuted":"#3c3c3c","lightMuted":"#ccc4c4","darkVibrant":"#68681c","lightVibrant":"#fcfcf4"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":41,"slug":"confido-senior-ml-ai-engineer-zcJTVO","isFresh":true,"featured":false},{"title":"Staff AI Engineer - Grafana Ops, AI/ML | USA | Remote","companyName":"Grafana Labs","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://grafana.com&size=128","companyWebsite":"https://grafana.com","description":"<p>Grafana Labs is a remote-first, open-source powerhouse with over 20M users globally.</p>\n<p>This is a remote opportunity for applicants from USA time zones only.</p>\n<p>The Opportunity<br/>At Grafana, we build observability tools that help users understand, respond to, and improve their systems. The Grafana AI teams help users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments.</p>\n<p>We're looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation. You'll work with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response.</p>\n<p>What You'll Be Doing</p>\n<ul><li>Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools.</li><li>Rapid experimentation and iteration: quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks.</li><li>Collaborate cross-functionally with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows.</li><li>Utilize AI tooling and frameworks to accelerate development.</li></ul>\n<p>Required Qualifications</p>\n<ul><li>Strong production software development experience (backend/full-stack).</li><li>LLM, prompt engineering, and GenAI application experience.</li><li>Proven track record of shipping production software actively used by users.</li><li>Cloud-native environment exposure (AWS, GCP, Azure).</li><li>Observability tools experience.</li></ul>\n<p>Bonus Qualifications</p>\n<ul><li>Agent frameworks or multi-agent workflow experience.</li><li>Infrastructure/DevOps tooling familiarity (Kubernetes, Docker, Terraform).</li><li>Model fine-tuning knowledge.</li><li>Observability tooling development background.</li></ul>\n<p>Compensation: USD $174,986 - $220,000 base, plus Restricted Stock Units (RSUs); equity; bonus eligibility; 30 annual leave days; three Grafana Shutdown Days; remote-first operations.</p>","location":"United States (Remote)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"staff","salaryMin":174986,"salaryMax":220000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/grafanalabs/jobs/5689218004"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS","Azure","Docker","GCP","Kubernetes","Python","Terraform"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#913e07","vibrant":"#f47c2c","darkMuted":"#913e07","lightMuted":"#915f07","darkVibrant":"#7e3606","lightVibrant":"#f4ac2c"},"viewCount":4,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":48,"slug":"grafana-labs-staff-ai-engineer-grafana-ops-aiml-or-usa-or-remote-2OgDda","isFresh":true,"featured":false},{"title":"Software Engineer (SWE/SWE II), AI Platform - Slack","companyName":"Slack (Salesforce)","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://slack.com&size=128","companyWebsite":"https://slack.com","description":"<p>About Slack AI<br/>The team's mission involves transforming how people work by making Slack an AI-powered operating system. Engineers focus on challenges like unlocking knowledge and reducing noise while building consumer-grade AI experiences within existing workflows.</p>\n<p>About the Team<br/>The AI and ML Infrastructure team operates within Slack's Core Infrastructure organization, handling foundational systems for machine learning and AI. They design platforms supporting the complete ML lifecycle — from training through monitoring — and are evolving toward large-scale, distributed model systems.</p>\n<p>Core Focus Areas</p>\n<ul><li>ML Infrastructure: Low-level systems powering training and inference at scale, including distributed systems using Kubernetes, GPU infrastructure, and open-source ML stacks such as KubeRay and vLLM.</li><li>AI Platform: Developer-facing tools, SDKs, and workflows enabling product teams to integrate AI efficiently and safely, serving as a connective layer between core infrastructure and product engineering.</li></ul>\n<p>About the Role<br/>The position involves building developer experience and tooling that powers AI at Slack. Engineers treat internal engineers as primary customers, designing SDKs, evaluation frameworks, and infrastructure enabling faster, more reliable AI feature shipping.</p>\n<p>Key Responsibilities</p>\n<ul><li>Drive evolution toward self-service, developer-friendly AI/ML platform environments.</li><li>Build and maintain SDKs, feature generation tools, and CI/CD pipelines.</li><li>Manage integrations with managed AI services across multiple cloud providers.</li><li>Design and operate AI quality evaluation frameworks and prompt engineering infrastructure.</li><li>Collaborate with ML modeling, AI quality, and product engineering teams.</li><li>Build production-grade software using modern engineering practices with AI as a core component.</li><li>Design systems where AI agents integrate seamlessly into human workflows.</li><li>Contribute to shared system context repositories.</li><li>Evaluate code (human or AI-generated) for correctness, quality, security, and performance.</li></ul>\n<p>Required Qualifications</p>\n<ul><li>Experience building developer tooling, libraries, or CI/CD pipelines.</li><li>Experience operationalizing Large Language Models and building integrations with cloud provider APIs (AWS, GCP, Azure).</li><li>Experience with AI quality evaluation frameworks or prompt engineering infrastructure.</li><li>Strong proficiency in Python, PHP, or Hacklang.</li><li>Infrastructure as code experience and modern software engineering practices.</li><li>Strong communication skills for technical concepts.</li><li>Familiarity with unit testing, code review, design documentation, and debugging methodologies.</li><li>Curiosity and determination to troubleshoot issues.</li><li>Ability to work collaboratively on complex projects with diverse teams.</li><li>Related technical degree (required).</li><li>Demonstrated AI-first engineering approach.</li><li>Advanced prompt engineering skills.</li></ul>\n<p>Locations: Seattle, WA / Austin, TX / Atlanta, GA / Bellevue, WA.</p>\n<p>Compensation: $117,200 - $223,900 USD annually (base), plus bonuses, equity, and benefits.</p>","location":"Seattle, WA / Austin, TX / Atlanta, GA / Bellevue, WA","city":"Seattle","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":117200,"salaryMax":223900,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Salesforce Careers","value":"https://careers.salesforce.com/en/jobs/jr328732/software-engineer-sweswe-ii-ai-platform-slack"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["vLLM"],"techStackTags":["AWS","Azure","GCP","Kubernetes","PHP","Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#a45c94","vibrant":"#e42459","darkMuted":"#1e7a54","lightMuted":"#0e6f8a","darkVibrant":"#2cb47c","lightVibrant":"#34c2e9"},"viewCount":1,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":28,"slug":"slack-salesforce-software-engineer-sweswe-ii-ai-platform-slack-ociXYY","isFresh":true,"featured":false},{"title":"Deployed Software Engineer","companyName":"Hungryroot","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://hungryroot.com&size=128","companyWebsite":"https://hungryroot.com","description":"<p>About Us<br/>Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We act as your personal assistant for healthy living, recommending and delivering healthy groceries, easy recipes, and essential supplements based on your needs.</p>\n<p>Hungryroot is a distributed team of top talent across 28+ U.S. states. While we have a headquarters in New York City, our remote-first culture emphasizes collaboration, team-building, and flexibility.</p>\n<p>About the Role<br/>We are looking for a Deployed Software Engineer to join our Engineering team. You will work directly with internal stakeholders, building an agentic workforce to automate workflows to drive productivity, quality, and the effectiveness of our human workforce. Problems that are too ambiguous for a product spec, too urgent for a roadmap, and too important to ignore. Your job is to find them, frame them, and solve them.</p>\n<p>The impact is immediate and visible. The agents and tools you build, the processes you fix, the systems you connect. People will use them every day.</p>\n<p>Responsibilities</p>\n<ul><li>In partnership with Exec and stakeholders, proactively identify inefficiencies, broken processes, and untapped opportunities across the organization</li><li>Build and ship custom tools, integrations, and internal applications that deliver immediate, visible impact</li><li>Translate non-technical asks into technical requirements</li><li>Work with leadership to prioritize</li><li>Continually integrate AI processes into your workflow</li><li>Serve as the first line of defense when something breaks</li></ul>\n<p>Qualifications</p>\n<ul><li>5+ years of experience in full-stack software development</li><li>3+ years with production-level monitoring, error observability, and performance tuning (Sentry, Datadog, etc.)</li><li>3+ years coding with Python, Go or Typescript</li><li>Experience with Agentic tools, LangChain, AI SDKs (Vercel AI SDK, OpenAI Builder, preferred)</li><li>Experience working in Test-Driven Environments</li><li>Thrive in ambiguity</li></ul>\n<p>Perks &amp; Benefits</p>\n<ul><li>Remote-first: work from home, work from our NYC office, work from anywhere in the U.S.</li><li>Equity</li><li>Unlimited vacation policy</li><li>Universal paid parental leave</li><li>Monthly Hungryroot credit to enjoy healthy food at home</li><li>Comprehensive health, vision, and dental insurance</li><li>401k with company match</li></ul>\n<p>Expected Pay Range: $134,000 - $168,000</p>","location":"Remote (US)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":134000,"salaryMax":168000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/hungryroot/jobs/5978366004"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["OpenAI API"],"techStackTags":["Go","Python","TypeScript"],"agenticFrameworks":["LangChain","Vercel AI SDK"],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#90080e","vibrant":"#f43c44","darkMuted":"#90080e","lightMuted":"#960208","darkVibrant":"#7d070c","lightVibrant":"#fc3c44"},"viewCount":4,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":112,"slug":"hungryroot-deployed-software-engineer-_u-bO0","isFresh":true,"featured":false},{"title":"Forward Deployed Engineer","companyName":"Middesk","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://middesk.com&size=128","companyWebsite":"https://middesk.com","description":"<p>Middesk is hiring a Forward Deployed Engineer to work shoulder-to-shoulder with customers and internal product and engineering teams, designing, shipping, and iterating on mission-critical integrations and AI-driven systems that run in production. You'll write real code, own complex deployments end-to-end, and help shape how these systems are built across Middesk.</p>\n<p>The role is a deeply technical builder and technical leader, ideal for a recovering founder or a former core engineer who misses direct customer impact. You'll set direction, influence architecture, and establish best practices for how systems are deployed and operated in the real world.</p>\n<h4>Day-to-day:</h4>\n<ul><li>Design, build, and deploy production-grade integrations using Middesk APIs, data pipelines, and AI workflows</li><li>Own deployments end-to-end from architecture through monitoring and iteration</li><li>Act as a tight feedback loop between customers and core product teams</li><li>Build and operate LLM- and agent-based systems in real customer workflows</li><li>Design and maintain evaluation frameworks (evals) to measure quality, reliability, and correctness of LLM outputs and agent behavior</li><li>Influence product direction by translating deployment insights into improvements</li><li>Lead through influence, setting high standards for engineering quality</li></ul>\n<h4>Requirements:</h4>\n<ul><li>6+ years shipping software in production</li><li>Technical leadership experience with teams or major systems</li><li>Strong Python proficiency plus an additional language (TypeScript, Go, etc.)</li><li>Experience designing and operating distributed systems, APIs, and cloud-native infrastructure</li><li>Strong debugging instincts and ownership mindset</li></ul>\n<h4>Preferred:</h4>\n<ul><li>Hands-on experience building or deploying LLM-powered or agent-based systems</li><li>Familiarity with LLM evaluation techniques (evals) and performance measurement</li><li>Startup or high-ambiguity environment background</li><li>Fintech, compliance, or regulated systems experience</li></ul>\n<p>Location: San Francisco (primary) with secondary location in New York; hybrid (2 days/week in office).</p>","location":"San Francisco, CA (also New York)","city":"San Francisco","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/middesk/a72b1048-1001-49b1-92bd-9c44574f939b"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Go","Python","TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#346c34","vibrant":"#abfb1c","darkMuted":"#346434","lightMuted":"#619602","darkVibrant":"#0e353b","lightVibrant":"#cefc7c"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":26,"slug":"middesk-forward-deployed-engineer-s3ycZT","isFresh":true,"featured":false},{"title":"Sr. / Lead Forward Deployed Engineer (AI)","companyName":"Alpha Financial Markets Consulting","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://alphafmc.com&size=128","companyWebsite":"https://alphafmc.com","description":"<h4>About Alpha FMC:</h4>\n<p>Alpha Financial Markets Consulting (Alpha) is a leading global consultancy to the financial services industry. Founded in 2003, we have worked for over 20 years to bring together specialist, sector-focused strategy, management consulting and technology expertise to support the entire client transformation lifecycle. We have over 1,180 consultants working with clients across North America, the UK, Europe, Middle East and APAC.</p>\n<h4>About the role:</h4>\n<p>As a Sr. / Lead Forward Deployed Engineer at AlphaFMC, you will play a pivotal role in shaping how leading financial services organizations adopt and scale AI. You will work on high-visibility initiatives inside wealth management firms, banks, and insurance companies, where the stakes are high and the standards for performance, safety, and governance are non-negotiable. Your experience in data science, LLMs, and agentic AI will directly influence how our clients operate and compete.</p>\n<h4>What you'll do:</h4>\n<ul><li>Own the full lifecycle of AI/ML projects, including problem framing, data acquisition, feature engineering, model and LLM selection and fine-tuning, evaluation, deployment, monitoring, and continuous improvement</li><li>Design, build, and maintain scalable data pipelines for ingestion, preprocessing, and feature engineering, supporting both structured and unstructured enterprise data</li><li>Implement RAG pipelines using vector databases and embedding strategies to ground LLMs in proprietary enterprise data</li><li>Fine-tune, prompt-engineer, and evaluate LLMs for domain-specific tasks</li><li>Design and orchestrate agentic workflows including tool-using agents, multi-step planners, guardrails, and alignment mechanisms</li><li>Establish robust evaluation frameworks covering hallucination checks, calibration, bias and fairness, and adversarial testing</li><li>Build logging, telemetry, safeguards, governance artifacts, and documentation for model risk management</li><li>Lead the end-to-end lifecycle of AI models from experimentation and prototyping to scalable deployment in production environments using MLOps best practices, CI/CD, and cloud platforms (AWS, Azure, GCP)</li><li>Optimize inference latency, throughput, and cost; establish monitoring and observability</li><li>Work closely with AI engineers, software engineers, product managers, and business stakeholders to translate complex business problems into AI-native solutions</li></ul>\n<h4>Qualifications:</h4>\n<ul><li>Bachelor's degree in a related field</li><li>At least 5 years of experience designing and deploying ML/AI systems with at least one agentic workflow in production</li><li>5+ years Python and SQL</li><li>Cloud platform experience (AWS, Azure, GCP)</li><li>Consulting or client-facing background</li><li>Data warehousing expertise (Snowflake, Azure Data Lake, AWS S3)</li><li>Deep LLM, NLP, and agentic modeling knowledge</li><li>Model risk management familiarity in regulated industries</li></ul>\n<p>Frameworks: LangGraph, LangChain Agents, DSPy.</p>\n<p>Compensation: $150,000 - $210,000 base salary, plus annual profit-sharing.<br/>Benefits: 401(k) matching, 25 days PTO, medical/dental/vision, commuting/mobile/home internet reimbursement, professional certification sponsorship with 5 paid training days/year, North America team retreats.</p>","location":"United States","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":150000,"salaryMax":210000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/alphafmcroles/jobs/8521640002"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS","Azure","GCP","Python","SQL","Snowflake"],"agenticFrameworks":["DSPy","LangChain","LangGraph"],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#548c94","vibrant":"#05accc","darkMuted":"#4c8494","lightMuted":"#acacac","darkVibrant":"#08677d","lightVibrant":"#64b0bc"},"viewCount":4,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":2,"impressionCount":114,"slug":"alpha-financial-markets-consulting-sr-lead-forward-deployed-engineer-ai-KmWwcp","isFresh":true,"featured":false},{"title":"Forward Deployed AI Engineer","companyName":"Tenex","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://tenex.co&size=128","companyWebsite":"https://tenex.co","description":"<h4>Who We Are:</h4>\n<p>Tenex is where builders, operators, and problem-solvers come together to help the world's most ambitious companies go from AI-absent to AI-native. We work at the intersection of strategy and engineering, embedding elite AI SWAT teams directly into organizations to turn complex, high-stakes problems into real, measurable outcomes. We don't do slide decks and hand-offs; we sit in the trenches alongside our clients to build &amp; drive real transformation.</p>\n<p>We operate with the speed of a startup and the rigor of a storied institution. Our culture is built on intellectual curiosity, radical ownership, and a belief that exceptional work comes from diverse teams who are empowered to challenge assumptions, move fast, and hold each other to a higher standard.</p>\n<h4>The Role:</h4>\n<p>The Forward Deployed AI Engineer at Tenex is an outcome-driven builder working in a high-talent, AI-native environment. You partner closely with strategists and clients to design and ship AI-powered workflows that deliver real, measurable impact.</p>\n<p>Success is defined by what you produce. You'll have high autonomy, leverage cutting-edge AI tools and internal automations, and be rewarded directly for execution and results through uncapped, output-aligned compensation.</p>\n<h4>What You'll Do:</h4>\n<ul><li>Forward Deployed Engineering – Embed directly into client codebases and sprint cycles, owning end-to-end feature delivery. Partner closely with AI strategists and client stakeholders to prioritize high-impact work and maintain consistent velocity. Ship production-grade solutions that drive measurable business outcomes.</li><li>Build with Maximum Leverage – Use the latest agentic coding tools (Claude Code, Codex, Cursor, etc.) to multiply your output and continuously refine your workflows. Your output is measured in story points, and your comp is uncapped. The more you ship, the more you earn.</li><li>Full Stack Development – Drive execution across front-end, back-end, and infrastructure across diverse tech stacks. Ramp quickly in unfamiliar codebases and contribute effectively within complex architectures and problem domains.</li><li>Systems Design &amp; Agent Architecture – Design and build full platforms that transform how businesses operate. You're an architect and an agent orchestrator, building reliable, auditable systems with clean UX that keeps humans in the loop.</li><li>Continuous Learning – You'll be surrounded by exceptional builders solving real, complex problems across industries and technologies.</li></ul>\n<h4>What You'll Bring to the Team:</h4>\n<ul><li>Strong Engineering Fundamentals – 3+ years of experience building and shipping production software, turning complex problems into clean, scalable, maintainable systems</li><li>AI-First Builder – You actively use AI tools to accelerate development, improve quality, and increase leverage across your work</li><li>Relentless Learner – You understand the AI landscape changes weekly. You stay ahead of new models, tooling, and techniques</li><li>Operational Intensity – You thrive in high-velocity environments, running parallel workstreams across multiple clients without losing clarity or quality</li><li>Force Multiplier – You raise the bar for those around you through mentorship, thoughtful communication, and proactive collaboration</li></ul>\n<h4>Benefits:</h4>\n<ul><li>Comprehensive medical coverage (PPO and HSA options), dental, and vision</li><li>HSA, Healthcare FSA, and Commuter Benefits</li><li>100% employer-paid life insurance + AD&amp;D</li><li>100% employer-paid long-term disability insurance</li><li>Responsible PTO</li></ul>\n<h4>Compensation:</h4>\n<p>This role has uncapped cash compensation. $180,000 is guaranteed, but everyone in good standing makes significantly more than this in their quarterly bonuses. In addition to the guaranteed base, engineers earn performance-based variable compensation tied directly to output: the quarterly quota is 562.5 story points, and every story point delivered above quota is paid out at $80 per point in quarterly payouts.</p>\n<h4>Our Workplace:</h4>\n<p>We prioritize in-person work and collaborate from our New York City office five days a week. We believe our best ideas come from working closely together.</p>","location":"New York City, NY","city":"New York","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":180000,"salaryMax":180000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Ashby","value":"https://jobs.ashbyhq.com/tenexlabs/804ccd47-203b-4b1b-a642-ff585285b3be"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#8b8b8b","vibrant":"#f7e407","darkMuted":"#303018","lightMuted":"#c1c1c1","darkVibrant":"#827804","lightVibrant":"#fbf17e"},"viewCount":1,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":26,"slug":"tenex-forward-deployed-ai-engineer-azOGoE","isFresh":true,"featured":false},{"title":"Founding Applied AI Engineer","companyName":"Atlas","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://atlasapp.ai&size=128","companyWebsite":"https://atlasapp.ai","description":"<h4>About Atlas:</h4>\n<p>Atlas is the concierge and credit card built for those who expect more — unlocking coveted access across dining, travel, and lifestyle while making spending seamless and effortless. Our members are discerning, busy individuals who rely on Atlas to deliver insider access, curated service, and unmatched reliability.</p>\n<p>In just 12 months, we've scaled to over $X00,000,000 in spending volume, growing double digits month-over-month organically, without paid marketing. We're backed by world-class investors and have multiple years of runway ahead. Our team brings deep experience from building and scaling iconic products at companies like Apple, Robinhood, and DoorDash.</p>\n<p>Today, we're a small, high-performing team of around 35 people based between New York and San Francisco. We value in-person collaboration and expect you to join us in our SF office (FiDi) at least three days a week.</p>\n<h4>The Role:</h4>\n<p>We're looking for an applied AI engineer to help us build the next generation of Atlas — starting with an AI-powered travel and hotel concierge used by some of the most influential people in the world. You'll design and ship real-world AI systems that personalize recommendations, automate complex requests, and rethink how payments, dining, and travel can work at the highest level.</p>\n<h4>What You'll Build:</h4>\n<ul><li>AI recommendation and booking flows (hotels, dining, flights)</li><li>Retrieval-augmented generation (RAG) systems for dynamic hotel and travel searches</li><li>Preference engines that learn and evolve from member interactions</li><li>Lightweight AI orchestration layers integrated with Zendesk, Slack, and our internal tools</li></ul>\n<h4>What We're Looking For:</h4>\n<ul><li>5+ years experience developing software in modern environments (Python, Node.js, Go, or similar)</li><li>3+ years experience deploying and scaling cloud-based applications (AWS, GCP, or similar)</li><li>Deep experience integrating LLMs (OpenAI, Anthropic, Hugging Face) and building production AI systems</li><li>Knowledge of retrieval-augmented generation (RAG), embeddings, and vector search (Pinecone, FAISS, or similar)</li><li>Solid understanding of database design (Postgres, Redis, vector DBs)</li><li>Strong optimization skills, especially for low-latency, high-availability systems</li><li>Product instincts — you think about the end experience, not just the technical specs</li><li>Collaboration skills and a desire to work tightly with product, design, and operations</li></ul>\n<h4>Why You'll Love Working Here:</h4>\n<ul><li>Real impact on how AI changes luxury travel, payments, and experiences</li><li>Early stage, no bureaucracy: lean, well funded, growing fast</li><li>Creative, high-caliber teammates from Shopify, Apple, Y Combinator startups</li><li>Competitive salary and meaningful equity</li></ul>","location":null,"city":null,"locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/atlas/dae00fcb-35a5-4559-8114-7553138b3ea3"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Anthropic","Hugging Face","OpenAI API","Pinecone"],"techStackTags":["AWS","GCP","Go","Node.js","PostgreSQL","Python","Redis"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#94949c","vibrant":"#6f6f8f","darkMuted":"#646c74","lightMuted":"#dcdce4","darkVibrant":"#39394a","lightVibrant":"#b4b4c5"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":42,"slug":"atlas-founding-applied-ai-engineer-QaOjB3","isFresh":true,"featured":false},{"title":"Staff Backend Engineer (AI Native), Family AI Lab","companyName":"Life360","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://life360.com&size=128","companyWebsite":"https://life360.com","description":"<p>About Life360<br/>Life360's mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most. Life360 serves approximately 97.8 million monthly active users (MAU) across more than 180 countries.</p>\n<p>Life360 is a Remote-First company. All positions, unless otherwise specified, can be performed remotely (within the US and Canada).</p>\n<p>About The Team<br/>The AI Lab is a small, founder-led team operating like a zero-to-one startup inside Life360, building the company's next chapter. Our mission is to transform Life360 from the app you open to find your family into an intelligent operating system families rely on daily. We design and build an AI-powered layer on top of our family graph, leveraging our core location technologies and global 100 million-user base to proactively surface what matters across location, schedules, and everyday life.</p>\n<p>About the Job<br/>Your role is owning how Life360's deterministic backend (location data, the family graph, behavioral signals, user insights) pairs with the probabilistic world of LLMs. You decide how those two sides talk to each other, and you make sure the seams don't show.</p>\n<p>You own the inference pipeline end to end: model selection, serving infrastructure, evaluation loops, prompt and context strategy, and the cloud services that keep it all running in production. You make the tradeoffs between latency, cost, and quality. You build the eval harness that tells us whether the system is actually getting better, not just feeling different. If you do this job right, the product feels seamless to users, the data stays safe, and inference costs don't run away from us.</p>\n<p>You are a cloud engineer who is deeply fluent in how AI systems actually work in production.</p>\n<p>Responsibilities</p>\n<ul><li>Architect inference pipelines that turn Life360 data into a context layer LLMs can reason over</li><li>Select models and hosting infrastructure: self-hosted, API-based, fine-tuned, or prompt-engineered</li><li>Build serving infrastructure with clear latency budgets, caching, and graceful degradation</li><li>Establish evaluation frameworks that distinguish actual product improvements from vibes-based iteration</li><li>Manage cost models tracking spend across users, features, and families</li><li>Define data architecture decisions: persistence, summarization, and LLM accessibility</li><li>Establish safety and privacy controls at the infrastructure layer</li></ul>\n<p>Required Qualifications</p>\n<ul><li>Substantial production experience building and operating AI systems at scale</li><li>Fluency in modern LLM serving frameworks (vLLM, TGI, SGLang, hosted APIs)</li><li>Hands-on experience building evaluation harnesses</li><li>Cloud systems architecture and reliability expertise</li><li>Strong cost optimization instincts</li><li>Daily proficiency with AI tools (Claude Code, Cursor, or equivalent)</li><li>Native thinking in agentic workflows, prompt engineering, context window management</li><li>Comfort with incomplete specifications</li><li>Excellent technical written communication</li><li>Preferred: agent systems, retrieval pipelines, long-context personalization, or privacy architecture experience</li></ul>\n<p>Salary<br/>For candidates based in the US, the salary range for this position is $190,000 to $280,000 USD.</p>\n<p>Benefits</p>\n<ul><li>100% employer-paid medical/dental/vision for US employees</li><li>401(k) matching (US)</li><li>Flexible PTO plus 12 company days off</li><li>Learning &amp; development programs</li><li>Remote equipment support</li><li>Free Life360 Platinum Membership</li></ul>","location":"Remote, USA","city":null,"locationType":"remote","employmentType":"full-time","seniority":"staff","salaryMin":190000,"salaryMax":280000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/life360/jobs/8537012002"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["TGI","vLLM"],"techStackTags":["Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#2c0296","vibrant":"#8454fc","darkMuted":"#2c0296","lightMuted":"#310395","darkVibrant":"#260282","lightVibrant":"#a47cfc"},"viewCount":1,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":42,"slug":"life360-staff-backend-engineer-ai-native-family-ai-lab-wtedFu","isFresh":true,"featured":false},{"title":"Staff AI Engineer United States | Remote","companyName":"Grafana Labs","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://grafana.com&size=128","companyWebsite":"https://grafana.com","description":"<p>Grafana Labs is a remote-first, open-source powerhouse with over 20M users globally.</p>\n<h4>The Opportunity:</h4>\n<p>Grafana's Revenue Operations organization is looking for a Staff AI Engineer to own the AI agent infrastructure and automation platform that powers our GTM teams. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily.</p>\n<p>This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Sales, Customer Success, Marketing and Finance, design the solutions, and ship them.</p>\n<h4>What You'll Be Doing:</h4>\n<h4>Agentic Systems &amp; AI Infrastructure:</h4>\n<ul><li>Own end-to-end development of multi-agent AI systems</li><li>Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar)</li><li>Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)</li><li>Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management</li><li>Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths</li></ul>\n<h4>Systems Integration &amp; Backend Services:</h4>\n<ul><li>Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Salesforce, Slack)</li><li>Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases</li><li>Build serverless or containerized services (GCP Cloud Functions, Cloud Run)</li></ul>\n<p>This sits within the GTM Systems team and works closely with Field Operations.</p>\n<h4>Requirements:</h4>\n<ul><li>8+ years software engineering experience</li><li>2+ years applying LLMs to production</li><li>Strong Python and JavaScript/Node.js</li><li>LLM frameworks experience (prompt engineering, RAG, function calling)</li><li>Multi-agent systems at scale</li><li>GCP/BigQuery familiarity</li><li>Fluency with AI-assisted development tools</li></ul>\n<h4>Bonus:</h4>\n<ul><li>Vector database experience (Pinecone, Weaviate, ChromaDB, pgvector)</li><li>Sales/marketing automation background (Salesforce, HubSpot, Outreach)</li><li>Open source background</li><li>AI observability (LangSmith, Weights &amp; Biases)</li></ul>\n<p>Compensation: $174,986 - $209,983 USD base, plus RSUs.<br/>Benefits: 30 days annual leave plus 3 Grafana Shutdown Days, remote-first global culture, in-person onboarding.</p>","location":"United States (Remote)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"staff","salaryMin":174986,"salaryMax":209983,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/grafanalabs/jobs/5735539004"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Anthropic","Chroma","Gemini","LangSmith","MCP","OpenAI API","Pinecone","Weaviate","pgvector"],"techStackTags":["BigQuery","GCP","Node.js","Python"],"agenticFrameworks":["CrewAI","LangChain","n8n"],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#913e07","vibrant":"#f47c2c","darkMuted":"#913e07","lightMuted":"#915f07","darkVibrant":"#7e3606","lightVibrant":"#f4ac2c"},"viewCount":9,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":5,"impressionCount":92,"slug":"grafana-labs-staff-ai-engineer-united-states-or-remote-bLFHt0","isFresh":true,"featured":false},{"title":"Technical Director (Temp to Hire)","companyName":"Instrument","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://instrument.com&size=128","companyWebsite":"https://instrument.com","description":"<p>Instrument is a digitally native design and technology company built to help brands unlock their full potential. Since 2005, our team of makers, thinkers, and storytellers has partnered with leading brands like Google, Nike, Uber, OURA, and Eventbrite to craft digital experiences that create impact and drive results. We don't just design — we build. Our work lives at the intersection of taste and technology across three core offerings: Brand, Marketing, and Product.</p>\n<h4>The Project:</h4>\n<p>We are developing a highly complex, stateful, multi-agent simulation engine driven by generative AI. This is a greenfield project exploring new forms of non-linear, narrative-based user interaction at scale. Unlike typical stateless web apps, this system requires a dynamic, real-time frontend that can handle persistent 'memory' and evolving session states for thousands of concurrent users. We are building an architecture where multiple AI agents orchestrate complex logic on the backend, and the frontend must elegantly reflect that state and latency to the user.</p>\n<h4>The Role:</h4>\n<p>You will serve as the Technical Director, responsible for driving the technical vision, quality, and execution of this project. While this is a brand-new application, you won't be starting from a completely blank slate. Our architecture team has spent the last 10 weeks establishing a robust backend foundation, defining core services, and proving out the initial generative AI architecture. You will be stepping in at a pivotal moment to take the helm just as the full engineering team (Backend, Frontend, and AI Engineers) ramps up. Your focus will be on guiding this team, scaling the established foundation, and driving the project to a successful, polished launch.</p>\n<p>This engagement runs from 6/1-10/9 at 40 hours/week, with the intention to convert to full-time if it's a strong mutual fit.</p>\n<h4>What You'll Do:</h4>\n<ul><li>Own and evolve the technical vision, building on an existing GCP architecture (Cloud Run, Firestore, Cloud SQL) and guiding integration with a modern Angular-based SPA</li><li>Lead architectural decision-making across the stack, ensuring scalability, performance, and maintainability of a real-time, stateful system</li><li>Drive delivery health by evaluating feasibility, identifying risks early, and shaping scope to support sustainable execution</li><li>Mentor and unblock a senior, multi-disciplinary engineering team; actively participate in sprint planning, standups, retros, and architectural reviews</li><li>Uphold code quality across backend and frontend systems</li><li>Act as the technical bridge across Engineering, Design, Strategy, and Production — translating AI capabilities into actionable product and UX decisions</li><li>Partner with clients and external teams as a senior technical advisor</li><li>Collaborate closely with the Executive Technical Director</li><li>Establish best practices for AI-augmented engineering, guiding the use of tools like Gemini, Cursor, or Claude Code to accelerate development responsibly</li><li>Apply deep expertise across full-stack development, systems architecture, and GCP to scale a complex, distributed system</li></ul>\n<h4>What You'll Bring:</h4>\n<ul><li>Proven experience as Technical Director, Principal Engineer, or Architect leading complex multi-disciplinary teams</li><li>Deep full-stack fluency (TypeScript, Angular/React/Vue + Python, async processing, distributed services)</li><li>Strong expertise in JavaScript, TypeScript, and Python</li><li>Advanced experience architecting and deploying on GCP, including containerized microservices, database design (SQL/NoSQL), DevOps/IaC (Terraform)</li><li>Experience bringing generative AI systems into production with understanding of latency, orchestration, and multi-agent architectures</li><li>Solid security, deployment, monitoring, and systems operations foundation</li><li>Strong communication skills</li><li>Familiarity with generative AI technologies (LLMs, agentic systems)</li><li>Collaborative, low-ego leadership style</li></ul>\n<h4>Pay Range:</h4>\n<p>Contract: $113-130 per hour (W-2)<br/>Full time: $150,000 - $180,000 (Base ranges adjusted by region: US1 +15%, US2 +7.5%, US3 Base)</p>","location":"United States","city":"United States","locationType":"remote","employmentType":"contract","seniority":"senior","salaryMin":150000,"salaryMax":180000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.lever.co/instrument/3866a5d1-b4bb-4687-b75e-6cfb1f0a0e2e"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Anthropic","Gemini"],"techStackTags":["Angular","GCP","Python","Terraform","TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c7c84","vibrant":"#3f3fbf","darkMuted":"#444444","lightMuted":"#bcbcc4","darkVibrant":"#04040c","lightVibrant":"#9b9bdd"},"viewCount":2,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":42,"slug":"instrument-technical-director-temp-to-hire--KeOkB","isFresh":true,"featured":false},{"title":"AI Partner Engineer","companyName":"Life360","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://life360.com&size=128","companyWebsite":"https://life360.com","description":"<p>About Life360<br/>Life360 serves approximately 97.8 million monthly active users across more than 180 countries. Life360 is a Remote-First company. All positions, unless otherwise specified, can be performed remotely (within the US and Canada).</p>\n<p>About The Team<br/>The AI Native Platform team is a cross-functional engineering organization built to lay the infrastructure foundations for Life360's AI-native transformation. We are not exploring what might be possible, we are building the platform that makes it operational.</p>\n<p>The team works across four interconnected areas: how Life360 safely accesses and governs the use of frontier AI models and external integrations; the agent deployment and workflow infrastructure that lets teams build, test, version, and operate autonomous agents with the same rigor applied to any production software; how we safely democratize data, information, and knowledge across the organization, making it queryable and usable by AI systems and humans reliably; and a multiplayer AI workbench that gives every employee a purpose-built environment tuned to their role, with relevant tools, knowledge, and workflows rather than a general-purpose chat interface.</p>\n<p>About the Job<br/>The End User Workbench is where the platform meets the organization, and closing that gap requires more than good infrastructure. This role exists at that boundary, and on both sides of it.</p>\n<p>You will be forward-deployed into business functions across Life360 (Marketing, Legal, Finance, People, Revenue) building AI-native solutions for the people you work alongside and increasing their ability to build for themselves. What you learn in the field comes back to the platform: this role contributes directly to the design and build of the Workbench itself, shaping how it serves a workforce that is not all engineers.</p>\n<p>Responsibilities</p>\n<ul><li>Embed in functions to identify and build agentic workflows in production</li><li>Configure the End User Workbench for specific teams</li><li>Evaluate build-versus-buy decisions for AI vendor solutions</li><li>Guide non-technical teams toward self-sufficiency in agent ownership</li><li>Return field learnings to inform platform evolution</li><li>Integrate privacy and data governance into workflow design</li></ul>\n<p>Qualifications</p>\n<ul><li>Track record building production technology (agentic workflows and LLM applications)</li><li>Product management instincts with engineering execution ability</li><li>Strong vendor market judgment</li><li>Trust-building skills with non-engineering teams</li><li>Clear bidirectional communication abilities</li><li>Comfort with ambiguity and sensitive data handling</li><li>Bachelor's degree or equivalent</li></ul>\n<p>Compensation</p>\n<ul><li>US: $148,000–$216,500 USD</li></ul>\n<p>Benefits</p>\n<ul><li>100% employer-paid medical/dental/vision</li><li>401(k) matching</li><li>Flexible PTO + company shutdowns</li><li>Free Life360 Platinum membership and Tile products</li><li>Learning &amp; development programs</li></ul>","location":"Remote, USA","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":148000,"salaryMax":216500,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/life360/jobs/8546751002"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#2c0296","vibrant":"#8454fc","darkMuted":"#2c0296","lightMuted":"#310395","darkVibrant":"#260282","lightVibrant":"#a47cfc"},"viewCount":5,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":35,"slug":"life360-ai-partner-engineer-Je-EUV","isFresh":true,"featured":false},{"title":"AI Developer Experience Engineer","companyName":"Crosby","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://crosby.ai&size=128","companyWebsite":"https://crosby.ai","description":"<p>About Crosby AI<br/>Crosby is an AI-first legal platform reimagining corporate legal services from the ground up. We are a team of technologists and legal experts who build proprietary technology and human-in-the-loop workflows that meaningfully improve how lawyers and machines work together — delivering speed, consistency, and quality across high-stakes work.</p>\n<p>Our systems review complex documents faster and with exceptional accuracy, combining advanced AI with structured legal expertise. Clients receive AI-powered redlines, commentary, and negotiation guidance within hours, at a predictable, volume-based price.</p>\n<p>Backed by Sequoia, Index Ventures, and Bain Capital Ventures, we're building the end-to-end contracting platform for the next generation of fast-growing companies.</p>\n<p>The Team<br/>The Engineering team builds the core systems, infrastructure, and developer tooling that power Crosby's AI-first platform. We work across backend, frontend, and AI systems to enable fast iteration, high-quality outputs, and reliable production systems.</p>\n<p>We prioritize speed, leverage, and strong engineering foundations — investing in systems that make the entire team more effective.</p>\n<p>The Role<br/>As an AI Developer Experience Engineer at Crosby, you'll play a critical role in building the internal systems that enable our team to develop, evaluate, and ship AI features quickly and reliably. You'll focus on improving the developer experience around LLMs, data, and experimentation — creating tools and infrastructure that accelerate iteration while maintaining quality.</p>\n<p>You'll partner closely with engineers, data scientists, and researchers to streamline workflows across prompting, evaluation, fine-tuning, and deployment. This role is for someone who is obsessed with leverage — building systems that make other engineers more productive.</p>\n<p>Responsibilities</p>\n<ol><li>Build AI developer tooling: Design and implement internal tools for prompt management, evaluation, experimentation, and model iteration.</li><li>Improve iteration speed: Create systems that enable rapid testing, debugging, and comparison of model outputs across different approaches.</li><li>Own evaluation infrastructure: Develop frameworks for benchmarking, regression testing, and monitoring AI system performance.</li><li>Streamline data workflows: Build pipelines and tooling to support data collection, labeling, and feedback loops for model improvement.</li><li>Support production systems: Partner with engineering teams to ensure AI features are reliable, observable, and easy to maintain in production.</li><li>Enable the team: Identify bottlenecks in the development process and build systems that increase developer velocity and confidence.</li></ol>\n<p>Who You Are</p>\n<ol><li>3 to 7+ years of software engineering experience, ideally working on developer tools, infrastructure, or platform teams.</li><li>Strong proficiency in Python and experience building backend systems and internal tooling.</li><li>Hands-on experience working with LLMs, APIs (e.g., OpenAI, Anthropic), and modern AI workflows.</li><li>Experience building systems for experimentation, evaluation, or data pipelines.</li><li>Strong systems thinking with the ability to design tools that scale across teams.</li><li>Highly pragmatic with a focus on improving developer velocity and real-world outcomes.</li><li>Strong communicator who can work closely with engineers, researchers, and product teams.</li><li>Proactive, resourceful, and excited about building foundational systems in a fast-moving environment.</li></ol>\n<p>Location: New York City (onsite).</p>\n<p>Compensation: $180k - $250k, plus equity.</p>","location":"New York City","city":"New York","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":180000,"salaryMax":250000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/crosby/73c2e629-8b13-40a3-9c50-d8af4fcf5d10"}],"postedAt":"2026-05-19T09:35:50.565Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#807d7b","vibrant":"#c8365b","darkMuted":"#4c443f","lightMuted":"#bebcbc","darkVibrant":"#681c2f","lightVibrant":"#fcf4f6"},"viewCount":2,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":30,"slug":"crosby-ai-developer-experience-engineer-9tycq9","isFresh":true,"featured":false},{"title":"Senior/Lead AI Software Engineer, Agentforce for Supply Chain","companyName":"Salesforce","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://salesforce.com&size=128","companyWebsite":"https://salesforce.com","description":"<p>Join a startup-within-Salesforce operating with high velocity following a recent acquisition. The role offers autonomy of a small team with global scale backing. You'll develop a 0 to 1 product with founding engineers while leveraging Salesforce's Data Cloud and security infrastructure.</p>\n<p>Agentforce for Supply Chain addresses the $13 trillion global supply chain market by replacing slow manual processes with an AI-powered platform for designing, automating, and running end-to-end business processes with email-based collaboration.</p>\n<h4>Key Responsibilities — Drive Agent Development &amp; Architecture:</h4>\n<ul><li>Lead development of intelligent agents completing complex supply chain tasks reliably</li><li>Spearhead architectural decisions for distributed systems serving millions with 24/7 availability</li><li>Design planning systems enabling autonomous multi-step workflow execution</li><li>Build production-grade software using modern engineering practices with AI as a core development tool</li><li>Design systems integrating AI agents seamlessly into human workflows</li><li>Contribute to shared system context repository documenting designs, constraints, and standards</li><li>Evaluate code for correctness, quality, security, and performance</li><li>Push boundaries of AI development tools for secure, optimized code</li></ul>\n<h4>Lead Technical Strategy:</h4>\n<ul><li>Partner with Product and Executive Leadership translating business vision into multi-year technical roadmaps</li><li>Guide technical decision-making for AI model deployment, safety constraints, and reliability frameworks</li><li>Drive adoption of enterprise-grade observability tools and cloud infrastructure best practices</li></ul>\n<h4>Mentor &amp; Collaborate:</h4>\n<ul><li>Mentor engineers on code quality, AI/ML practices, and system design</li><li>Collaborate with Design, Product Management, and industry experts</li><li>Engage customers directly for insights and technical validation</li><li>Participate in hiring and contribute to continuous learning culture</li></ul>\n<h4>Requirements:</h4>\n<ul><li>B.S. Computer Science with AI coursework (M.S. preferred)</li><li>4-8 years (Senior) or 7-12 years (Lead) software engineering with AI/ML focus</li><li>Proficiency in Python, Go, Java, or C++</li><li>Strong background in APIs, data modeling, and databases</li><li>Proficiency with modern AI orchestration frameworks (LangChain, LlamaIndex)</li><li>Experience with enterprise observability tools and AWS/GCP</li><li>Demonstrated AI-first engineering approach</li><li>Advanced prompt engineering skills</li></ul>\n<p>Compensation: Base $148,500 - $260,100 USD annually (San Francisco/NYC metro: $178,900 - $285,800).</p>","location":"Seattle, WA / Palo Alto, CA / Bellevue, WA / San Francisco, CA","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":148500,"salaryMax":285800,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Salesforce Careers","value":"https://careers.salesforce.com/en/jobs/jr323328/seniorlead-ai-software-engineer-agentforce-for-supply-chain"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS","C++","GCP","Go","Java","Python"],"agenticFrameworks":["LangChain","LlamaIndex"],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#026a96","vibrant":"#049cdc","darkMuted":"#026a96","lightMuted":"#126586","darkVibrant":"#025c82","lightVibrant":"#3cb4e4"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":50,"slug":"salesforce-seniorlead-ai-software-engineer-agentforce-for-supply-chain-UXzB6s","isFresh":true,"featured":false},{"title":"Senior AI ML Engineer","companyName":"3Pillar","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://3pillarglobal.com&size=128","companyWebsite":"https://3pillarglobal.com","description":"<div>\n<p style=\"margin-top: 0pt; margin-bottom: 15pt;\"><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif;\">3Pillar warmly extends an invitation for you to join an elite team of visionaries. Beyond software development, we are dedicated to engineering solutions that challenge conventional norms. Envision you: steering projects that redefine urban living, establish new media channels for enterprise companies, or drive innovation in healthcare. Your invaluable expertise will serve as the cornerstone in shaping the future direction of our endeavors.</span></p>\n<span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif;\">This role transcends the ordinary realms of coding; it's about orchestrating technological marvels that disrupt industries. Seize this extraordinary opportunity to lead a team that is actively shaping the tech landscape for our clients, and sets global standards along the way.</span><span style=\"font-size: 12pt; font-family: Roboto, sans-serif; color: #374151;\"> 🌍🔥</span></div>\n<h3>Overview</h3>\n<ul><div><span style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">We are seeking a talented </span><em><span style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">senior AI / automation engineer, contract to hire (6 months) to join our client’s</span></em><span style=\"font-size: 11pt; font-family: Calibri, sans-serif;\"> new AI Enablement squad. You will be responsible for designing, building, and deploying agentic workflows, process automation, and AI-integrated solutions that drive productivity and accuracy across the firm. This role is a key part of turning AI from ad hoc experimentation into a governed, scalable capability. You will work closely with product management, data engineering, and security to deliver pilot use cases, reusable workflow patterns, and policy guardrails. This role reports into the Head of AI.</span></div>\n<div>\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 10pt;\"><span style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">The tech stack uses AWS as the cloud platform, enabling scalable and secure infrastructure. The infrastructure is managed using Terraform, with Docker and AWS Lambda for containerization and deployment.&nbsp; GitLab is relied upon for CI/CD processes to ensure smooth and efficient software delivery. The AI footprint and strategy is young, evolving, and carries significant opportunity. There is a chance to heavily influence the AI tooling and workflow landscape at our client company, including agentic frameworks, orchestration patterns, and integration with the existing AWS and data platform infrastructure.</span></p>\n</div></ul>\n<h3>Responsibilities:</h3>\n<ul><div>\n<ul style=\"margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;\">\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Design, build, and deploy AI agent workflows that enable measurable efficiencies across business functions</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Implement orchestration patterns including single-agent and multi-agent systems with appropriate state management</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Integrate AI capabilities with existing tools and platforms via APIs, plugins, and function calling</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Define and enforce guardrails for agent behavior, capabilities, and permissions in partnership with product and security</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Build reusable automation patterns and templates that can be adopted across teams</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Work alongside our data platform team to enable AI-driven analytics and reporting tools</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Implement monitoring, observability, and feedback loops for deployed AI workflows</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Ensure responsible AI practices, including fairness, transparency, and risk mitigation</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Evaluate and recommend AI tooling, frameworks, and model providers based on business needs and cost</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Stay current on industry trends, emerging AI capabilities, and best practices in automation engineering</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Mentor engineers on integrating AI into their development workflows</span></p>\n</li>\n\n</ul></div></ul>\n<h3>Qualifications:</h3>\n<ul><div>\n<ul style=\"margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;\">\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">7+ years in software engineering, with 2+ years focused on AI/ML, automation, or agentic systems.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Bachelor's degree in Computer Science, Mathematics, or a related field, or equivalent experience.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Hands-on experience building and deploying AI agents, LLM-based workflows, or intelligent automation solutions.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Strong proficiency with Python and modern AI/ML frameworks (e.g., LangChain, LlamaIndex, AWS Bedrock, or similar).</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Experience with cloud platforms, preferably AWS, including Lambda, Fargate, Glue, and other serverless technologies.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Deep understanding of API design, integration patterns, and event-driven architectures.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Strong knowledge of data management, security, quality, and governance best practices.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Ability to translate business needs into technical solutions with clear, phased delivery plans.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Strong Agile proficiency with practical application to deliver incremental, high-quality solutions.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Excellent analytical and communication skills, capable of influencing both technical and business stakeholders.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Ability to manage complex project timelines in fast-paced environments.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Experience working in a regulated industry and/or Financial Services.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Calibri, sans-serif;\">\n<p style=\"line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;\"><span style=\"font-size: 11pt;\">Strong interpersonal skills, adept at building collaborative relationships across teams and stakeholders.</span></p>\n</li>\n\n</ul></div></ul>\n<h3>What is it like working for 3Pillar Global?</h3>\n<ul><div>\n<p style=\"margin-top: 0pt; margin-bottom: 10pt;\"><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\">At 3Pillar, we offer a world of opportunity:</span></p>\n<ul style=\"margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;\">\n<li style=\"font-size: 12pt; font-family: Roboto, sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 5pt;\"><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\">Imagine a </span><em><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\">flexible work environment </span></em><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\">– whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach.&nbsp;</span></p>\n</li>\n<li style=\"font-size: 12pt; font-family: Roboto, sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 5pt;\"><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\">You will be part of a </span><em><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\">global team</span></em><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\">, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams.&nbsp;</span></p>\n</li>\n<li style=\"font-size: 12pt; font-family: Roboto, sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 5pt;\"><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\">Our professional services model enables us to </span><em><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\">accelerate career growth</span></em><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\"> and development opportunities - across projects, offerings, and industries.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif;\">\n<p style=\"margin-top: 0pt; margin-bottom: 5pt;\"><em><span style=\"font-size: 11pt; background-color: #ffffff;\">We are an equal opportunity employer. </span></em><span style=\"font-size: 11pt; background-color: #ffffff;\">It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally.&nbsp;</span></p>\n</li>\n\n<span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\">Join us and be a part of a global tech community!</span><span style=\"font-size: 10.5pt; font-family: Roboto, sans-serif; color: #444746; background-color: #ffffff;\"> 🌍💼 </span><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\">&nbsp;Check out our </span><a href=\"https://www.linkedin.com/company/3pillar-global\" style=\"text-decoration: none;\"><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; color: #1155cc; background-color: #ffffff; text-decoration: underline; text-decoration-skip-ink: none;\">Linkedin</span></a><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\"> site and </span><a href=\"https://www.3pillarglobal.com/company-culture/\" style=\"text-decoration: none;\"><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; color: #1155cc; background-color: #ffffff; text-decoration: underline; text-decoration-skip-ink: none;\">Careers</span></a><span style=\"font-size: 11pt; font-family: 'Roboto Condensed', sans-serif; background-color: #ffffff;\"> page to learn more about what it’s like to be part of our #oneteam! </span></ul></div></ul>","location":"United States","city":"United States","locationType":"remote","employmentType":"contract","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.lever.co/3pillarglobal/1a3ee3b8-5215-47dc-9628-f8200066e5f8"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["AWS Bedrock"],"techStackTags":["AWS","Docker","Python"],"agenticFrameworks":["LangChain","LlamaIndex"],"geoRegion":"us","countries":["US"],"remoteScope":"global","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#70777c","vibrant":"#797b85","darkMuted":"#1c242c","lightMuted":"#b7b8bd","darkVibrant":"#3f4045","lightVibrant":"#b9babf"},"viewCount":6,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":76,"slug":"3pillar-senior-ai-ml-engineer-tez9AX","isFresh":true,"featured":false},{"title":"AI Engineer","companyName":"Influur","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://influur.com&size=128","companyWebsite":"https://influur.com","description":"<p>About Influur<br/>We're building the world's first viral agent. An AI purpose built for influencer marketing. Not a tool. Not a platform. An autonomous agent that goes from 'I need this campaign to break' to '50 influencers live next week' with minimal human intervention.</p>\n<p>Why this matters: We have 3 years of proprietary data on what makes influencer content go viral. Warner, Sony, and Universal trust us to break their biggest artists. We're backed by the biggest names in entertainment including Sofia Vergara, Karol G, Tommy Mottola, and Tier 1 VCs like Point72 Ventures. We're not building for hypothetical use cases. We're shipping production AI that drives millions in revenue today.</p>\n<p>Why we'll win: We have what no one else has: both the data and the distribution. We have proprietary data on thousands of influencers and what makes content go viral, plus direct relationships with the influencers themselves. In the AI era, having both is the moat.</p>\n<p>Why now: AGI agents will replace middle level work by 2027. We have a 12 to 18 month window before the market floods with agents. We're building the category defining social media viral agent right now.</p>\n<p>What we're looking for: Young talent ready to go all in. We're offering significant equity to people who want to build something that matters. This isn't a job. It's an opportunity to define the future of AI in influencer marketing and own a meaningful piece of it.</p>\n<p>Your Skillset</p>\n<ul><li>Solid experience designing multi AI agent architectures with memory, tool use, and feedback loops (LangChain, CrewAI, or custom orchestration), using LLMs such as those from OpenAI, Anthropic, Gemini, etc.</li><li>Expertise in full-stack development (Node.js, Next.js) and scalable systems.</li><li>Strong proficiency in Python is a plus.</li><li>Ability to reason about API orchestration, error handling, integration complexity.</li><li>Experience building RAG systems.</li><li>Experience building and integrating APIs (REST) in Node.js.</li><li>Experience properly using LLMs in different parts of a greater system.</li><li>Deep knowledge of which models to be used when, creating and using embeddings.</li><li>Strong grasp of API architecture, performance tuning, and database optimization (SQL).</li><li>Technical leadership: from design to deployment.</li><li>Deep code quality standards: automation, testing, reviews, and focus on end-to-end ownership.</li><li>Effective communicator across product, design, and business.</li><li>Familiarity with cloud infra (AWS/GCP) and container tools (Docker, Kubernetes).</li><li>Knowledge on social media (especially TikTok), both in a tech perspective and a consumer perspective.</li><li>Past experience in video content classification/embeddings/tagging.</li></ul>\n<p>You're the Type Who</p>\n<ul><li>Builds like an AI native, automates, experiments, and ships at lightning speed.</li><li>Brings a generalist mindset, curious, versatile, hands-on, and comfortable across the stack.</li><li>Moves fast, builds with precision, and expects high standards.</li><li>Thrives in early-stage startups where nothing is 'someone else's job'.</li><li>Sees ambiguity as an opportunity to lead and learn.</li><li>Thinks like a product builder, not just writing code, but shaping how AI enhances user experience and business outcomes.</li><li>Is obsessed with pushing what's possible with AI and scalable systems.</li></ul>\n<p>What We Offer</p>\n<ul><li>Competitive equity in a venture-backed company shaping the future of music influencer marketing.</li><li>A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral.</li><li>Access to elite tools, AI copilots, and a team that builds daily at top speed.</li><li>Hybrid flexibility.</li></ul>","location":"San Francisco Bay Area (Remote)","city":"San Francisco","locationType":"remote","employmentType":"full-time","seniority":"mid","salaryMin":150000,"salaryMax":200000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Lever","value":"https://jobs.lever.co/influur/e799f7bf-9280-4d22-8f1c-387d322f1011"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Anthropic","Gemini","OpenAI API"],"techStackTags":["AWS","Docker","GCP","Kubernetes","Next.js","Node.js","Python"],"agenticFrameworks":["CrewAI","LangChain"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#848484","vibrant":"#bf3fbf","darkMuted":"#39333a","lightMuted":"#b4b4b4","darkVibrant":"#0c040c","lightVibrant":"#dd9bdd"},"viewCount":7,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":3,"impressionCount":73,"slug":"influur-ai-engineer-eLVT-l","isFresh":true,"featured":false},{"title":"Founding Engineer","companyName":"Applied Labs","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://appliedlabs.ai&size=128","companyWebsite":"https://appliedlabs.ai","description":"<p>Applied Labs is building the platform for reliable AI agents that automate complex work. We deploy advanced, on-brand AI agents that handle complex customer support and operational workflows across chat, email, voice, and more with high CSAT and resolution rates. Backed by tier-1 VCs and angels, our early team includes people from Harvard, MIT, Gemini, and Meta.</p>\n<p>As a Founding Engineer at Applied Labs, you'll own core agent systems from idea to production (orchestration, tool-use, planning, memory, evals) and architect for reliability by designing agent loops and guardrails that hold up under real-world edge cases.</p>\n<h4>Responsibilities:</h4>\n<ul><li>Develop and maintain large-scale products that impact millions of users and shape the future of customer interactions</li><li>Own core agent systems from idea to production: orchestration, tool-use, planning, memory, evals</li><li>Architect for reliability by designing agent loops and guardrails for real-world edge cases</li><li>Move fast with strong customer empathy, product understanding, and ownership</li></ul>\n<p>Offices in New York and San Francisco; primarily in-person.</p>\n<p>Compensation: $160K – $300K/year.</p>","location":null,"city":null,"locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":160000,"salaryMax":300000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/appliedlabs/add6d376-a634-4c81-9b01-c30328c2bdf0"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":null,"countries":[],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#4c4c4c","vibrant":"#7f7f7f","darkMuted":"#3c3c3c","lightMuted":"#e4e4e4","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":14,"slug":"applied-labs-founding-engineer-ULXHM0","isFresh":true,"featured":false},{"title":"Deployed Engineer (NYC)","companyName":"LangChain","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://langchain.com&size=128","companyWebsite":null,"description":"<p>LangChain's mission is to make intelligent agents ubiquitous by building the foundation for agent engineering in the real world. As a Deployed Engineer based in NYC, you will embed inside customer AI engineering teams to design, prototype, and productionize AI agents using LangChain, LangGraph, and LangSmith. You will serve as a trusted technical advisor helping customers make architectural decisions and adopt best practices for agentic workflows. You'll develop reference implementations, demos, and example projects that showcase effective use of LangChain tooling, and gather feedback from the field to influence the product roadmap. The role requires hands-on experience building production AI applications with LLM frameworks, strong full-stack engineering skills (Python or TypeScript), familiarity with cloud infrastructure (AWS, GCP, or Azure), API design and integration patterns, and a customer-empathetic mindset. You should be comfortable owning complex deployments end-to-end and thinking deeply about agent orchestration, tool-use, evaluation, and reliability.</p>","location":"New York, NY","city":"New York","locationType":"hybrid","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/langchain/25d40647-c821-46ff-bf25-bacf21fa38b5"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":["LangChain","LangGraph"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#4c7ca4","vibrant":"#588cb1","darkMuted":"#314f66","lightMuted":"#055d93","darkVibrant":"#040414","lightVibrant":"#7bcafa"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":48,"slug":"langchain-deployed-engineer-nyc--muGib","isFresh":true,"featured":false},{"title":"Staff AI Engineer | US | Remote","companyName":"Grafana Labs","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://grafana.com&size=128","companyWebsite":"https://grafana.com","description":"<p>Grafana Labs is a remote-first, open-source powerhouse. More than 20M users of Grafana monitor everything from beehives to climate change. Grafana also helps more than 3,000 companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies.</p>\n<p>This is a remote opportunity for candidates in the U.S.</p>\n<p>The Opportunity<br/>Grafana Labs is seeking a Staff AI Engineer to own the AI agent infrastructure and automation platform that powers our Sales organization. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction.</p>\n<p>What You'll Be Doing</p>\n<p>Agentic Systems &amp; AI Infrastructure</p>\n<ul><li>Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation</li><li>Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams</li><li>Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)</li><li>Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management</li><li>Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths</li></ul>\n<p>Systems Integration &amp; Backend Services</p>\n<ul><li>Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, Salesforce, email, calendars, analytics tools)</li><li>Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context</li><li>Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure</li></ul>\n<p>Automation &amp; Workflow Manufacturing</p>\n<ul><li>Partner with RevOps and GTM teams to scope automation problems</li><li>Deploy workflows using orchestration tools (n8n, Workato, or custom platforms)</li><li>Build self-service systems with documentation and enablement</li></ul>\n<p>Requirements</p>\n<ul><li>8+ years software engineering experience (backend, systems integration, or data engineering)</li><li>2+ years hands-on experience applying LLMs to production workflows</li><li>Strong proficiency in Python and JavaScript/Node.js</li><li>Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling</li><li>Experience building and operating multi-agent systems at scale</li><li>Deep familiarity with Google Cloud Platform and BigQuery</li><li>Understanding of LLM failure modes and production mitigations</li></ul>\n<p>Bonus</p>\n<ul><li>Vector database experience (Pinecone, Weaviate, ChromaDB, pgvector)</li><li>Workflow automation platform experience (n8n, Prefect, Clay, PhantomBuster, Apify, Dust)</li><li>Familiarity with Model Context Protocol (MCP)</li><li>Observability tools for AI (LangSmith, Weights &amp; Biases)</li><li>GTM platform experience (Salesforce, HubSpot, Outreach, Gainsight)</li></ul>\n<p>Benefits include 30 days annual leave, RSUs, in-person onboarding, equity and bonus eligibility.</p>\n<p>US base compensation: $174,986 - $220,000.</p>","location":"United States (Remote)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"staff","salaryMin":174986,"salaryMax":220000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/grafanalabs/jobs/5839189004"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Anthropic","Chroma","LangSmith","MCP","Pinecone","Weaviate","pgvector"],"techStackTags":["BigQuery","GCP","JavaScript","Node.js","Python"],"agenticFrameworks":["CrewAI","LangChain","n8n"],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#913e07","vibrant":"#f47c2c","darkMuted":"#913e07","lightMuted":"#915f07","darkVibrant":"#7e3606","lightVibrant":"#f4ac2c"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":66,"slug":"grafana-labs-staff-ai-engineer-or-us-or-remote-vGzk__","isFresh":true,"featured":false},{"title":"Forward Deployed Engineer - Applied AI - Senior Manager - Financial Services - Consulting","companyName":"EY","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://ey.com&size=128","companyWebsite":"https://ey.com","description":"<p>EY is hiring a Senior Manager-level Forward Deployed Engineer on the Applied AI team within Financial Services Consulting. You will lead AI system design principles, reference architectures, and engineering standards for highly complex AI/ML initiatives — architecting enterprise-scale generative AI, RAG, and agentic systems.</p>\n<h4>Responsibilities include:</h4>\n<ul><li>Define and govern system design principles, reference architectures, and engineering patterns for AI/ML, generative AI, RAG, and agentic systems</li><li>Establish governance, design reviews, and architecture standards</li><li>Lead complex project delivery with accountability for technical quality and operational excellence</li><li>Mentor senior engineers</li><li>Define API, integration, and data strategies for AI platforms</li><li>Expertise in designing and governing enterprise agentic AI frameworks including multi-agent orchestration, tool use patterns, and memory architecture</li></ul>\n<h4>Required:</h4>\n<ul><li>Deep knowledge of foundation models (GPT-4o, Claude, Llama, Gemini, Mistral)</li><li>Enterprise-scale knowledge AI systems architecture</li><li>Advanced Python</li><li>Agentic AI frameworks (LangGraph, AutoGen, Semantic Kernel, CrewAI, NVIDIA NIM)</li><li>LLMOps and model lifecycle management</li><li>Observability (LangSmith, Arize, Datadog, Azure Monitor)</li><li>Enterprise evaluation standards (RAGAS, DeepEval, Weights &amp; Biases)</li><li>API design and containerization (Docker, Kubernetes, REST, gRPC)</li><li>Enterprise platforms (Azure OpenAI, AWS Bedrock, Vertex AI)</li><li>Data security and compliance (Azure Purview, AWS Macie, Microsoft Presidio)</li><li>Safety guardrails (NeMo Guardrails, Guardrails AI, Azure Content Safety)</li><li>10+ years applied engineering</li><li>Bachelor's preferred; MBA/MS preferred</li></ul>\n<p>Hybrid (40-60% in person). Primary location New York with Charlotte, Dallas, Tampa.</p>\n<h4>Compensation:</h4>\n<ul><li>General US range: $144,000 - $329,100</li><li>NYC Metro/Washington State/California (excl. Sacramento): $172,800 - $374,000</li></ul>\n<p>EY accepts applications for this position on an on-going basis.</p>","location":"New York, NY (also Charlotte, Dallas, Tampa)","city":"New York","locationType":"hybrid","employmentType":"full-time","seniority":"principal","salaryMin":144000,"salaryMax":374000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://careers.ey.com/ey/job/New-York-Forward-Deployed-Engineer-Applied-AI-Senior-Manager-Financial-Services-Consulting-NY-10001-8604/1393575733/"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["AWS Bedrock","Arize","Azure OpenAI","LangSmith","Vertex AI"],"techStackTags":["Docker","Kubernetes","Python"],"agenticFrameworks":["AutoGen","CrewAI","LangGraph","Semantic Kernel"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#746c34","vibrant":"#e4cc34","darkMuted":"#5c5c34","lightMuted":"#877711","darkVibrant":"#6c6c34","lightVibrant":"#efe189"},"viewCount":5,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":46,"slug":"ey-forward-deployed-engineer-applied-ai-senior-manager-financial-services-consulting-UVz6um","isFresh":true,"featured":false},{"title":"Applied AI Engineer","companyName":"Crosby","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://crosby.ai&size=128","companyWebsite":"https://crosby.ai","description":"<p>Crosby is the AI-powered law firm built for execution — an agentic legal services firm of the future designed for hyper-growth startups. The team specializes in sales agreements (MSAs, DPAs, NDAs) and reviews contracts in under an hour, sometimes minutes, accelerated by proprietary AI tooling.</p>\n<p>As an Applied AI Engineer, you will own intelligent features across the entire lifecycle, from system design to model customization. You'll build core AI systems including complex Retrieval Augmented Generation (RAG) pipelines and agentic workflows, and fine-tune language models for legal-specific tasks. You'll collaborate with attorneys and engineers to enhance legal services with agentic systems.</p>\n<p>The work spans agents that handle initial passes at standard contract changes, flag common issues, and prepare preliminary redlines so attorneys can focus on strategic decisions and complex legal reasoning. You'll work on prompt engineering, model evaluation, RAG over legal documents, and end-to-end agent workflows in production.</p>\n<h4>Primary Responsibilities:</h4>\n<ul><li>Design and scale AI features powering the Crosby platform</li><li>Fine-tune and adapt language models for specialized legal applications</li><li>Develop evaluation and monitoring systems for production AI features</li><li>Collaborate with product, backend, and legal teams on end-to-end solutions</li></ul>\n<h4>Required Qualifications:</h4>\n<ul><li>3+ years building and shipping AI/ML products</li><li>Deep Python proficiency</li><li>Hands-on experience with LLM APIs (OpenAI, Anthropic)</li><li>Data-driven problem solving with strong product focus</li><li>Full ownership mentality for features from concept to deployment</li></ul>\n<p>Full-time, on-site in NYC, with equity. Backed by Sequoia and Bain Capital Ventures; recently raised $20M.</p>\n<p>Compensation: $170,000 - $250,000 base salary.</p>","location":"New York, NY","city":"New York","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":170000,"salaryMax":250000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/crosby/81acae55-8c8e-40d9-b601-7ba99e22a6e2"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Anthropic","OpenAI API"],"techStackTags":["Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#807d7b","vibrant":"#c8365b","darkMuted":"#4c443f","lightMuted":"#bebcbc","darkVibrant":"#681c2f","lightVibrant":"#fcf4f6"},"viewCount":1,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":19,"slug":"crosby-applied-ai-engineer-xuNFOR","isFresh":true,"featured":false},{"title":"Staff Full Stack Engineer","companyName":"Knit","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://knit.com&size=128","companyWebsite":null,"description":"<p>Knit is an AI-native consumer research platform automating primary research for enterprise brands. The role helps scale the NYC engineering team from current size to 20+ within 18 months. As a Staff Full Stack Engineer, you'll architect and own the core agent orchestration engine, building multi-agent LLM workflows with tool use, memory management, and AI-native UX design. Day-to-day you'll develop end-to-end features spanning design through production deployment, design and maintain multi-agent workflows, create React/Next.js interfaces enabling human-AI collaboration, build internal experimentation infrastructure for prompt and agent testing, own observability, testing, and deployment safety, and mentor team members. Stack: Python, TypeScript, React, Next.js, FastAPI, MongoDB, S3, Redis, Pinecone, AWS, Docker, Kubernetes, GitHub Actions. Required: LLM and agent systems experience, evals and prompt tooling, RAG and embeddings work, vector databases, event-driven systems and workflow engines, observability (OpenTelemetry, Prometheus, Datadog), enterprise security (SOC 2, GDPR). Hybrid — 3+ days/week in Midtown Manhattan.</p>","location":null,"city":null,"locationType":"hybrid","employmentType":"full-time","seniority":"staff","salaryMin":250000,"salaryMax":300000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/knit/jobs/4232999009"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Pinecone"],"techStackTags":["AWS","Datadog","Docker","FastAPI","Kubernetes","MongoDB","Next.js","OpenTelemetry","Python","React","Redis","TypeScript"],"agenticFrameworks":[],"geoRegion":null,"countries":[],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":null,"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":16,"slug":"knit-staff-full-stack-engineer-8c2WO-","isFresh":true,"featured":false},{"title":"Forward Deployed Engineer - Applied AI - Senior - Financial Services - Consulting","companyName":"EY","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://ey.com&size=128","companyWebsite":"https://ey.com","description":"<p>EY is hiring a Senior Forward Deployed Engineer on the Applied AI team within Financial Services Consulting. You will design and deploy production-grade AI/ML solutions for top financial-services clients, translating business requirements into working systems.</p>\n<p>Day-to-day you will build LLM and RAG systems, debug production agentic workflows, and integrate AI capabilities into enterprise platforms. The role requires experience designing and building agentic systems including multi-agent orchestration patterns, tool use, and memory design. You must demonstrate the ability to build reliable agent loops including failure handling, retries, fallbacks, and context window management.</p>\n<p>The role calls for hands-on Python proficiency, deep experience with LLM applications, RAG systems, and prompt engineering (zero-shot, few-shot, chain-of-thought), and comfort with multi-agent orchestration, tool use, and memory design.</p>\n<p>You'll work across Azure OpenAI, AWS Bedrock, and Google Vertex AI; build on top of LangChain, LlamaIndex, LangGraph, and Semantic Kernel; and use evaluation frameworks like RAGAS and DeepEval, with model observability via LangSmith, Arize, or Datadog. DevOps experience (Docker, Kubernetes) and REST/event-driven API design are required.</p>\n<p>Preferred: LLM fine-tuning (LoRA, QLoRA, PEFT), inference optimization, AI security and responsible AI principles, AI-assisted coding tools (Claude Code, GitHub Copilot), prior consulting experience, and a Master's degree (MBA/MS).</p>\n<h4>Requirements:</h4>\n<ul><li>3+ years applied engineering with meaningful AI/ML background</li><li>Bachelor's degree preferred; Master's degree a plus</li><li>Hybrid (40-60% in person)</li><li>Primary location New York with other US listings (Charlotte, Dallas, Tampa)</li></ul>\n<h4>Compensation:</h4>\n<ul><li>General US range: $106,900 - $176,500</li><li>NYC Metro/Washington State/California (excl. Sacramento): $128,400 - $200,600</li></ul>\n<p>EY accepts applications for this position on an on-going basis.</p>","location":"New York, NY (also Charlotte, Dallas, Tampa)","city":"New York","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":106900,"salaryMax":200600,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://careers.ey.com/ey/job/New-York-Forward-Deployed-Engineer-Applied-AI-Senior-Financial-Services-Consulting-NY-10001-8604/1393540633/"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["AWS Bedrock","Arize","Azure OpenAI","LangSmith","Vertex AI"],"techStackTags":["Docker","Kubernetes","Python"],"agenticFrameworks":["LangChain","LangGraph","LlamaIndex","Semantic Kernel"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#746c34","vibrant":"#e4cc34","darkMuted":"#5c5c34","lightMuted":"#877711","darkVibrant":"#6c6c34","lightVibrant":"#efe189"},"viewCount":6,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":56,"slug":"ey-forward-deployed-engineer-applied-ai-senior-financial-services-consulting-ZCbdqf","isFresh":true,"featured":false},{"title":"AI Engineer, Executive Communication Agents","companyName":"Field AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://fieldai.com&size=128","companyWebsite":"https://fieldai.com","description":"<p data-start=\"108\" data-end=\"261\"><strong data-start=\"145\" data-end=\"158\">Location:</strong> Irvine, CA (5 days onsite)<br data-start=\"185\" data-end=\"188\"><strong data-start=\"188\" data-end=\"197\">Type:</strong> Fixed Term</p>\n<h4><strong>About FieldAI</strong></h4>\n<p>FieldAI is building advanced AI systems to power real-world autonomy. As a fast-growing company at the forefront of innovation, we move quickly and operate with high standards, supporting leaders who are shaping the future of AI.</p>\n<h4><strong>Role Overview</strong></h4>\n<p>We're hiring an experienced AI engineer to design, build, and own the Executive Communication Agents that power our leadership and communications operations. You'll work directly with our C-level leadership and their EAs to automate and augment high-stakes workflows, including scheduling, inbox management, meeting prep and follow-ups, task prioritization, travel, project coordination, internal comms, and executive research, and to set the technical direction for how FieldAI uses its own technology internally.</p>\n<p>This role combines deep AI engineering with strong product and communications sensibilities. The agents you build will collaborate closely with executives, suggest scheduling decisions, and support leadership in day-to-day operations. You'll prototype on Monday, ship to real users by Friday, and iterate based on what you see them actually doing with it.</p>\n<h3 data-section-id=\"dww51d\" data-start=\"263\" data-end=\"287\"><br><br></h3>\n<h3>What You’ll Get To Do</h3>\n<ul>\n<li>Architect and build production-grade Executive Communication Agents for workflows including scheduling, email triage and drafting, meeting prep and follow-ups, travel coordination, project coordination and action item tracking, and briefing generation</li>\n<li>Own the full agent stack: orchestration, memory, tool use, evals, guardrails, and the integrations that connect agents to Google Workspace, Slack, calendar, and travel systems, and internal knowledge sources</li>\n<li>Partner directly with C-level leadership and EAs as your first users to observe their workflows, identify the highest-leverage automation opportunities, and translate messy real-world processes into shipped systems</li>\n<li>Set the bar for agent quality by building evaluation frameworks, defining reliability and safety standards, and ensuring agents are trustworthy</li>\n<li>Move fast across the full stack when needed: backend services, agent orchestration, Chrome extensions, and Slack bots, whatever gets the workflow unblocked</li>\n<li>Influence product direction for internal AI tooling and help translate learnings into patterns the broader company can build on</li>\n</ul>\n<h3>What You Have</h3>\n<ul>\n<li>3+ years of software engineering experience, with 2+ years building LLM-powered products or agents in production</li>\n<li>Strong proficiency in Python and/or TypeScript and experience with modern agent frameworks (LangGraph, CrewAI, custom orchestration, etc.)</li>\n<li>Deep hands-on work with LLM APIs, RAG, tool use, function calling, prompt engineering, and eval design</li>\n<li>Experience shipping products that integrate with Google Workspace, Slack, or similar enterprise APIs</li>\n<li>A track record of shipping end-to-end, including side projects, internal tools, or production features you took from idea to live users quickly</li>\n<li>Excellent written and verbal communication, with the ability to work directly with executives, write clearly, and care about the quality of the text your agents produce</li>\n<li>Strong product instincts and comfort operating in ambiguous, fast-moving environments</li>\n<li>High judgment and discretion when working with confidential executive information</li>\n<li>Ability to work onsite in Irvine, CA, five days per week</li>\n</ul>\n<h3>The Extras That Set You Apart</h3>\n<ul><div>\n\n<li>Prior experience building AI assistants, copilots, or agentic products used by non-technical end users</li>\n<li>Background in a high-growth startup or early-stage AI company</li>\n<li>Experience working directly with executives and EA teams</li>\n<li>Contributions to open-source agent frameworks or applied AI tooling</li>\n<li>Experience with multi-agent systems, long-horizon planning, or human-in-the-loop workflows</li>\n\n</div></ul>\n<div>\n<div>Compensation and Benefits</div>\n<div>Our salary range is <strong>highly competitive</strong> with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.&nbsp;&nbsp;</div>\n<div>&nbsp;</div>\n<div>Why Join Field AI?</div>\n<div>We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.</div>\n<div>&nbsp;</div>\n<div>You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With&nbsp;<a rel=\"noopener noreferrer\" href=\"https://www.fieldai.com/journey\" class=\"postings-link\">a decade-long track record of deploying solutions in the field</a>, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.</div>\n<div>&nbsp;</div>\n<div>Be Part of the Next Robotics Revolution</div>\n<div>To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.</div>\n<div>&nbsp;</div>\n<div>We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.&nbsp;</div>\n<div>&nbsp;</div>\n<div>Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!</div>\n<div>&nbsp;</div>\n<div>&nbsp;</div>\n<div>&nbsp;</div>\n<div>We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.</div>\n</div>","location":"Irvine, CA","city":"Irvine","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.lever.co/field-ai/57c9955b-d089-4709-bf6c-d81e486d1798"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Python","TypeScript"],"agenticFrameworks":["CrewAI","LangGraph"],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#912707","vibrant":"#f45424","darkMuted":"#912707","lightMuted":"#912707","darkVibrant":"#7e2206","lightVibrant":"#f89c80"},"viewCount":1,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":42,"slug":"field-ai-ai-engineer-executive-communication-agents-2SQhzN","isFresh":true,"featured":false},{"title":"Software Engineer, Product","companyName":"Sierra","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://sierra.ai&size=128","companyWebsite":"https://sierra.ai","description":"<p>ABOUT US<br/>At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.</p>\n<p>We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family.</p>\n<p>Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs.</p>\n<p>WHAT YOU'LL DO</p>\n<ul><li>Agent Architecture: What primitives do we need to build agents that are steerable and verifiable, but also conversational and empathetic? How do we future-proof this as LLMs evolve?</li><li>Retrieval: How do we ground answers in a customer's knowledge base? How do we use retrieved context conversationally, handling cases where the answer is unclear or needs clarification from the user?</li><li>Evals: How do we measure an agent's quality? How do empower our customers to improve agent quality?</li><li>Voice: How do we make our chat agents 'just work' over the phone? How do we deliver lifelike conversations at low latency?</li><li>Simulation &amp; Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable?</li><li>Content Management: How do we create intuitive, no-code tools that allow anyone to guide and test AI agents?</li><li>Agent Development Lifecycle: How do we adapt traditional software development methodologies to accommodate AI agents' non-deterministic behavior, natural language interactions, and reliance on large language models?</li><li>Generative Agent Development: How do we accelerate agent creation? Can we build self-improving systems based on real-world interactions, customer-driven feedback, and self-play?</li></ul>\n<p>WHAT YOU'LL BRING</p>\n<ul><li>A passion for being on the frontier of AI products.</li><li>Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact.</li><li>Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity.</li><li>4+ years hands-on experience building production products and systems.</li><li>Experience and comfort to build and ship full-stack solutions.</li><li>Degree in Computer Science or related field, or equivalent professional experience.</li></ul>\n<p>EVEN BETTER...</p>\n<ul><li>Experience building AI-powered products.</li><li>A sharp eye for design.</li><li>Experience with Go and Typescript.</li><li>Experience building developer tooling, programming languages, or databases.</li><li>Leadership experience on technical projects or teams.</li></ul>\n<p>WHAT WE OFFER</p>\n<ul><li>Flexible (unlimited) paid time off</li><li>Medical, dental, and vision benefits for you and your family</li><li>Life insurance and disability benefits</li><li>Retirement plan dependent on country of employment</li><li>Parental leave</li><li>Fertility and family building benefits through Carrot</li><li>Lunch, as well as delicious snacks and coffee to keep you energized</li><li>Discretionary benefit stipend</li><li>Free alphorn lessons</li></ul>","location":"San Francisco, CA","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","label":"Apply on Ashby","value":"https://jobs.ashbyhq.com/Sierra/b16462e4-ce32-4ce9-b788-0a8f0f096361"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Go","TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#649478","vibrant":"#2b714c","darkMuted":"#38724f","lightMuted":"#b2cbbc","darkVibrant":"#0c6c3c","lightVibrant":"#fcfcf4"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":21,"slug":"sierra-software-engineer-product-Mj9Pz7","isFresh":true,"featured":false},{"title":"Forward Deployed Engineer (FDE) - NYC","companyName":"OpenAI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://openai.com&size=128","companyWebsite":null,"description":"<p>OpenAI's Forward Deployed Engineering team partners with strategic customers to turn research breakthroughs into production systems. As an FDE based in NYC, you will lead complex end-to-end deployments of frontier models in production. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. Success is measured through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You'll embed deeply with customers to understand their business challenges and technical requirements in detail, then co-develop solutions to tackle real problems in evolving spaces. The role requires 4+ years in software or customer-facing engineering, strong full-stack ability (React or Next.js on the front end; Python, Node.js, or similar on the back end), cloud platform deployment experience (AWS, GCP, Azure), and strong communication across technical and non-technical audiences. Hybrid, 3 days/week in office. Travel up to 50% for on-site customer engagements. You'll work closely with Product, Research, Partnerships, GRC, Security, and GTM teams.</p>","location":"New York, NY","city":"New York","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://openai.com/careers/forward-deployed-engineer-(fde)-nyc-new-york-city/"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#848484","vibrant":"#7f7f7f","darkMuted":"#444444","lightMuted":"#bcbcbc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":1,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":18,"slug":"openai-forward-deployed-engineer-fde-nyc-jBDTFL","isFresh":true,"featured":false},{"title":"Software Engineer, Platform","companyName":"Sierra","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://sierra.ai&size=128","companyWebsite":"https://sierra.ai","description":"<p>ABOUT US<br/>At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney.</p>\n<p>WHAT YOU'LL DO</p>\n<ul><li>Build Sierra's platform. At Sierra, we believe agent development is an evolution of software development that requires new tools and systems. You will work on the platform primitives that power how agents are built, orchestrated, and deployed.</li><li>Invent the foundations of agent development. You'll design systems that enable engineers and customers to build reliable, steerable agents, including runtime systems, developer tooling, and internal infrastructure.</li><li>Enable engineers to move faster. You'll build tools and workflows that accelerate how engineers build and deploy agents across Sierra.</li></ul>\n<p>WHAT YOU'LL BRING</p>\n<ul><li>A passion for being on the frontier of AI products.</li><li>Pride in building reliable, maintainable, and secure systems that scale.</li><li>Motivation and high-agency to drive outcomes in a high-autonomy culture.</li><li>4+ years hands-on experience building production systems.</li><li>Degree in Computer Science or related field, or equivalent professional experience.</li></ul>\n<p>EVEN BETTER</p>\n<ul><li>Experience building developer platforms or SDKs.</li><li>Experience working on distributed systems.</li><li>Experience building AI-powered products.</li><li>Leadership experience on technical projects.</li></ul>\n<p>WHAT WE OFFER</p>\n<ul><li>Flexible (unlimited) paid time off</li><li>Medical, dental, and vision benefits for you and your family</li><li>Life insurance and disability benefits</li><li>Retirement plan dependent on country of employment</li><li>Parental leave</li><li>Fertility and family building benefits through Carrot</li><li>Lunch, as well as delicious snacks and coffee to keep you energized</li><li>Discretionary benefit stipend</li><li>Free alphorn lessons</li></ul>\n<p>Compensation: $230K - $390K + Equity.</p>","location":"San Francisco, CA","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":230000,"salaryMax":390000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Ashby","value":"https://jobs.ashbyhq.com/Sierra/d77487f9-bab3-44c6-be18-744e7125c8b3"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#649478","vibrant":"#2b714c","darkMuted":"#38724f","lightMuted":"#b2cbbc","darkVibrant":"#0c6c3c","lightVibrant":"#fcfcf4"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":20,"slug":"sierra-software-engineer-platform-53ZRTl","isFresh":true,"featured":false},{"title":"Full-Stack Product Engineer","companyName":"LlamaIndex","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://llamaindex.ai&size=128","companyWebsite":"https://www.llamaindex.ai","description":"<p>Join us and help shape the future of AI by defining the narrative around document understanding.</p>\n<p>ABOUT THE ROLE<br/>We need a full-stack engineer who can ship AI products fast and isn't afraid to wear every hat in the closet. You'll build our SaaS platform with Next.js and Python, contribute to open-source frameworks, and work directly with customers to turn wild ideas into production reality. If you've launched AI apps that actual humans use and can go from 'what if?' to 'it's live' faster than most people can schedule a kickoff meeting, let's talk.</p>\n<p>RESPONSIBILITIES</p>\n<ul><li>[Primary] Front-end/full-stack work for our managed applications/SaaS offering.</li><li>FE stack: Next.JS, shadcn, react-query, etc.</li><li>Backend stack: Python, Node.JS, K8s, Docker, Terraform, Cloud services, databases, etc.</li><li>[Secondary] General feature development, maintenance, and education for our open-source frameworks (Python and Typescript).</li><li>[Secondary] Work closely with prospects and customers to build POC and production solutions.</li></ul>\n<p>QUALIFICATIONS</p>\n<ul><li>2+ years of experience</li><li>Experience with shipped web applications or completely new product features from scratch. Have gone from prototype to production serving end users in a short amount of time.</li><li>Shipped AI/LLM-native applications - from UX to core algorithms.</li><li>Iterated rapidly with customers - translate user feedback into features back to proactive user discovery. Help jointly develop and iterate on product roadmap for core features.</li><li>Worked with product and design, demonstrating instances of wearing the PM hat yourself to proactively scope and design features.</li><li>Shipped applications that scaled to millions of users.</li><li>Nice to have: machine learning and NLP experience.</li></ul>\n<p>LOCATION<br/>We offer a hybrid-friendly culture based out of our downtown San Francisco office.</p>\n<p>WHY JOIN US?</p>\n<ul><li>Impactful Mission: Work on innovative AI products that redefine how knowledge is accessed and utilized.</li><li>Collaborative Team: Join a team of passionate individuals committed to pushing the boundaries of technology.</li><li>Growth Opportunities: Be at the forefront of the AI revolution, with ample opportunities to grow alongside our scaling organization.</li></ul>\n<p>BENEFITS</p>\n<ul><li>Competitive base salary and equity compensation</li><li>Comprehensive medical/dental/vision coverage for you and your family</li><li>Unlimited paid time off policy</li><li>Daily catered lunch and snacks in the San Francisco office</li></ul>\n<p>Compensation: $150K - $230K + Equity.</p>","location":"San Francisco, CA","city":"San Francisco","locationType":"hybrid","employmentType":"full-time","seniority":"mid","salaryMin":150000,"salaryMax":230000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Ashby","value":"https://jobs.ashbyhq.com/llamaindex/5db34762-0a45-4cb6-9874-607b6583d530"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Docker","Kubernetes","Next.js","Node.js","Python","React","Terraform","TypeScript"],"agenticFrameworks":["LlamaIndex"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#9c5488","vibrant":"#3eaffb","darkMuted":"#4f2c37","lightMuted":"#bc6897","darkVibrant":"#1c4c74","lightVibrant":"#917cfc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":19,"slug":"llamaindex-full-stack-product-engineer-g81SJh","isFresh":true,"featured":false},{"title":"AI Agent Engineer","companyName":"CollectWise","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://collectwise.com&size=128","companyWebsite":null,"description":"<p>CollectWise (YC F24) is using generative AI to automate consumer debt collection. The company's voice AI agents already outperform human collectors by 2X across a $35B US market, and scaled to $2M ARR in months. As an AI Agent Engineer in NYC, you'll build the core voice AI infrastructure and conversational systems for debt collection automation.</p>\n<h4>What you'll do:</h4>\n<ul><li>Design real-time voice agent architecture</li><li>Develop prompting strategies and testing frameworks</li><li>Optimize speech and conversational reasoning systems</li><li>Manage LiveKit infrastructure</li><li>Build evaluation systems for agent performance</li><li>Iterate based on call outcomes</li><li>Collaborate with product and operations</li></ul>\n<h4>Requirements:</h4>\n<ul><li>3+ years engineering experience</li><li>2+ years voice/conversational AI experience</li><li>Strong Node.js, AWS, SQL proficiency</li><li>Production startup experience</li><li>US citizen or visa holder only</li></ul>\n<p>Compensation: $200K - $300K + 0.25% - 1.00% equity. NYC onsite.</p>","location":null,"city":null,"locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":200000,"salaryMax":300000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://www.ycombinator.com/companies/collectwise/jobs/Ktc6m6o-ai-agent-engineer"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["OpenAI API"],"techStackTags":["AWS","Node.js","SQL"],"agenticFrameworks":[],"geoRegion":null,"countries":[],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#044394","vibrant":"#0770f7","darkMuted":"#044394","lightMuted":"#044394","darkVibrant":"#043c84","lightVibrant":"#7eb4fb"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":17,"slug":"collectwise-ai-agent-engineer-BHVZu5","isFresh":true,"featured":false},{"title":"Agentic AI/ML Engineer - Multimodal","companyName":"Field AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://fieldai.com&size=128","companyWebsite":"https://fieldai.com","description":"<p>FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.</p>\n<p>Who are We?</p>\n<p>Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com.</p>\n<p>About the Job</p>\n<p>Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. Field-insight Foundation Model (FiFM) is at the core of how we transform multimodal data from autonomous robots into actionable insights. As an AI/ML Engineer on the FiFM team, you will drive research and model development for one of Field AI's most ambitious initiatives. Your work will span computer vision, vision-language models (VLMs), multimodal scene understanding, and long-memory video analysis and search, with a strong emphasis on agentic AI (tool use, memory, multimodal retrieval-augmented generation). This is a full-cycle ML role: you'll curate datasets, fine-tune and evaluate models, optimize inference, and deploy them into production. It's a blend of applied research and engineering, requiring creativity, rapid experimentation, and rigorous problem-solving. While FiFM is your primary focus, you'll also contribute to broader perception and insight-generation initiatives across Field AI.</p>\n<h4>What You'll Get To Do:</h4>\n<ul><li>Train and fine-tune million- to billion-parameter multimodal models, with a focus on computer vision, video understanding, and vision-language integration.</li><li>Track state-of-the-art research, adapt novel algorithms, and integrate them into FiFM.</li><li>Curate datasets and develop tools to improve model interpretability.</li><li>Build scalable evaluation pipelines for vision and multimodal models.</li><li>Contribute to model observability, drift detection, and error classification.</li><li>Fine-tune and optimize open-source VLMs and multimodal embedding models for efficiency and robustness.</li><li>Build and optimize Multi-VectorRAG pipelines with vector DBs and knowledge graphs.</li><li>Create embedding-based memory and retrieval chains with token-efficient chunking strategies.</li></ul>\n<h4>What You Have:</h4>\n<ul><li>Master's/Ph.D. in Computer Science, AI/ML, Robotics, or equivalent industry experience.</li><li>2+ years of industry experience or relevant publications in CV/ML/AI.</li><li>Strong expertise in computer vision, video understanding, temporal modeling, and VLMs.</li><li>Proficiency in Python and PyTorch with production-level coding skills.</li><li>Experience building pipelines for large-scale video/image datasets.</li><li>Familiarity with AWS or other cloud platforms for ML training and deployment.</li><li>Understanding of MLOps best practices (CI/CD, experiment tracking).</li><li>Hands-on experience fine-tuning open-source multimodal models using HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA.</li><li>Knowledge of precision tradeoffs (FP16, bfloat16, quantization) and multi-GPU optimization.</li><li>Ability to design scalable evaluation pipelines for vision/VLMs and agent performance.</li></ul>\n<h4>The Extras That Set You Apart:</h4>\n<ul><li>Experience with Agentic/RAG pipelines and knowledge graphs (LangChain, LangGraph, LlamaIndex, OpenSearch, FAISS, Pinecone).</li><li>Familiarity with agent operations logging and evaluation frameworks.</li><li>Background in optimization: token cost reduction, chunking strategies, reranking, and retrieval latency tuning.</li><li>Experience deploying models under quantized (int4/int8) and distributed multi-GPU inference.</li><li>Exposure to open-vocabulary detection, zero/few-shot learning, multimodal RAG.</li><li>Knowledge of temporal-spatial modeling (event/scene graphs).</li><li>Experience deploying AI in edge or resource-constrained environments.</li></ul>\n<p>Why Join FieldAI in Irvine?<br/>In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.</p>\n<p>You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.</p>\n<p>Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world.</p>","location":"Irvine, CA","city":"Irvine","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.lever.co/field-ai/28935a89-7c6b-4caf-abe7-b83b8a9958e1"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["FAISS","Hugging Face","OpenSearch","Pinecone","PyTorch","vLLM"],"techStackTags":["AWS","Python"],"agenticFrameworks":["LangChain","LangGraph","LlamaIndex"],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#912707","vibrant":"#f45424","darkMuted":"#912707","lightMuted":"#912707","darkVibrant":"#7e2206","lightVibrant":"#f89c80"},"viewCount":1,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":51,"slug":"field-ai-agentic-aiml-engineer-multimodal-WLR-rD","isFresh":true,"featured":false},{"title":"Senior AI Engineer","companyName":"Sandgarden","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://sandgarden.com&size=128","companyWebsite":"https://www.sandgarden.com","description":"<p>Sandgarden is a small, early-stage company where the distance between an idea and production is measured in days, not quarters. Our product is called Doc Holiday, an AI-native platform to keep organizations in sync as code ships, starting with release notes and documentation. We've raised $9M.</p>\n<p>This is a software engineering role first. You'll design agent architectures, ship production systems, and iterate fast where your decisions shape the product. You won't be fine-tuning models or writing research papers.</p>\n<h4>Key Responsibilities:</h4>\n<ul><li>Design and ship AI agents that write and evaluate software documentation</li><li>Own the full agent lifecycle from early prototype through production deployment</li><li>Build agent primitives like agentic loops, retrieval and grounding strategies, multi-step orchestration, and memory</li><li>Build RAG pipelines and evaluation frameworks to measure writing quality</li><li>Establish best practices as products mature and shape the product roadmap</li></ul>\n<h4>Required Skills:</h4>\n<ul><li>Hands-on LLM development experience (production or substantial projects)</li><li>Ability to drive outcomes with incomplete direction</li><li>Capacity to evaluate written output quality objectively</li></ul>\n<p>Tech areas: LLMs and agent architecture, RAG pipelines, multi-agent orchestration, evaluation frameworks, API and systems design.</p>\n<p>Fully remote. We're a US-based company.</p>","location":null,"city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":185000,"salaryMax":225000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://www.sandgarden.com/careers/senior-ai-engineer"}],"postedAt":"2026-05-19T09:35:50.564Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":null,"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":27,"slug":"sandgarden-senior-ai-engineer-XzdrLQ","isFresh":true,"featured":false},{"title":"Senior Staff Forward Deployed AI Engineer, Enterprise","companyName":"Scale AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://scale.com&size=128","companyWebsite":"https://scale.com","description":"<h2><strong>About Scale AI</strong></h2>\n<p>Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities.</p>\n<h2><strong>Role Overview</strong></h2>\n<p>As a Senior Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.</p>\n<p>This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.</p>\n<h2><strong>Key Responsibilities</strong></h2>\n<h3><strong>Customer Integration &amp; Deployment</strong></h3>\n<ul>\n<li>Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements</li>\n<li>Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)</li>\n<li>Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows</li>\n<li>Deploy and configure AI models and agents within customer security and compliance boundaries</li>\n</ul>\n<h3><strong>AI Agent Development</strong></h3>\n<ul>\n<li>Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation</li>\n<li>Architect multi-agent systems that orchestrate between different models, tools, and data sources</li>\n<li>Implement evaluation frameworks to measure agent performance and iterate toward business objectives</li>\n<li>Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement</li>\n</ul>\n<h3><strong>Prompt Engineering &amp; Optimization</strong></h3>\n<ul>\n<li>Create sophisticated prompt engineering strategies optimized for customer-specific domains and data</li>\n<li>Build and maintain prompt libraries, templates, and best practices for customer use cases</li>\n<li>Conduct systematic prompt experimentation and A/B testing to improve model outputs</li>\n<li>Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate</li>\n</ul>\n<h3><strong>Technical Leadership &amp; Collaboration</strong></h3>\n<ul>\n<li>Serve as the primary technical point of contact for strategic enterprise accounts</li>\n<li>Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration</li>\n<li>Provide technical training and knowledge transfer to customer teams</li>\n<li>Work closely with Scale's product and engineering teams to translate customer needs into product improvements</li>\n<li>Document technical architectures, integration patterns, and best practices</li>\n</ul>\n<h3><strong>Problem Solving &amp; Innovation</strong></h3>\n<ul>\n<li>Debug complex technical issues across the entire stack, from data pipelines to model outputs</li>\n<li>Rapidly prototype solutions to unblock customers and prove out new use cases</li>\n<li>Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems</li>\n<li>Identify opportunities for productization based on common customer patterns</li>\n</ul>\n<h2><strong>Required Qualifications</strong></h2>\n<ul>\n<li><strong>12+ years of software engineering experience</strong> with strong fundamentals in data structures, algorithms, and system design</li>\n<li><strong>Production Python expertise</strong> with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)</li>\n<li><strong>Experience with cloud platforms</strong> (AWS, GCP, or Azure) and modern data infrastructure</li>\n<li><strong>Strong problem-solving skills</strong> with the ability to navigate ambiguous requirements and rapidly iterate toward solutions</li>\n<li><strong>Excellent communication skills</strong> with the ability to explain complex technical concepts to both technical and non-technical audiences</li>\n</ul>\n<h2><strong>Preferred Qualifications</strong></h2>\n<p><em>Agent Development Wiz</em></p>\n<ul>\n<li>Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures</li>\n<li>Experience building and deploying AI agents or autonomous systems in production</li>\n<li>Knowledge of vector databases and semantic search systems</li>\n<li>Contributions to open-source AI/ML projects</li>\n</ul>\n<p><em>Infrastructure Guru</em></p>\n<ul>\n<li>Experience with containerization (Docker, Kubernetes) and CI/CD pipelines</li>\n<li>Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools</li>\n<li>Previous work in a devops, platform, or infra role</li>\n<li>Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)</li>\n</ul>\n<p><em>Customer Product Whisperer</em></p>\n<ul>\n<li>Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role</li>\n<li>Domain expertise in verticals like finance, healthcare, government, or manufacturing</li>\n<li>Experience with technical enablement or teaching programs</li>\n</ul>\n<h2><strong>Sample Projects</strong></h2>\n<p>The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.</p>\n<h3><strong>Deep Research for Due Diligence</strong></h3>\n<p>For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly.</p>\n<h3><strong>Churn Prediction</strong></h3>\n<p>Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a \"next best action\" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn.</p>\n<h3><strong>Data Extraction Voice Agent</strong></h3>\n<p>We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week.</p><div class=\"content-pay-transparency\"><div class=\"pay-input\"><div class=\"description\"><p><em>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</em></p></div><div class=\"title\">Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</div><div class=\"pay-range\"><span>$288,000</span><span class=\"divider\">&mdash;</span><span>$360,000 USD</span></div></div></div><div class=\"content-conclusion\"><p><strong><em>PLEASE NOTE:&nbsp;</em></strong><em>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</em></p>\n<p><strong>About Us:</strong></p>\n<p><em>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</em></p>\n<p><em>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.&nbsp;</em></p>\n<p><em>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </em><a href=\"https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf\"><em>Know Your Rights poster</em></a><em> for additional information.</em></p>\n<p><em>We comply with the United States Department of Labor's </em><em>Pay Transparency provision</em><em>.&nbsp;</em></p>\n<p><em><strong>PLEASE NOTE: </strong>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our <a href=\"https://scale.com/legal/privacy\" target=\"_blank\">privacy policy</a> for additional information.</em></p></div>","location":"San Francisco, CA; New York, NY","city":"San Francisco","locationType":"hybrid","employmentType":"full-time","seniority":"staff","salaryMin":288000,"salaryMax":360000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/scaleai/jobs/4694869005"}],"postedAt":"2026-05-19T08:10:19.091Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Hugging Face","OpenAI API"],"techStackTags":["AWS","Azure","Docker","GCP","Kubernetes","Python","Terraform"],"agenticFrameworks":["LangChain","LlamaIndex"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#848484","vibrant":"#7f7f7f","darkMuted":"#4c4c4c","lightMuted":"#b4b4b4","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":43,"slug":"scale-ai-senior-staff-forward-deployed-ai-engineer-enterprise-E6WnBP","isFresh":true,"featured":false},{"title":"Senior Forward Deployed AI Engineer, Enterprise","companyName":"Scale AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://scale.com&size=128","companyWebsite":"https://scale.com","description":"<h2><strong>About Scale AI</strong></h2>\n<p>Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities.</p>\n<h2><strong>Role Overview</strong></h2>\n<p>As a Senior Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.</p>\n<p>This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.</p>\n<h2><strong>Key Responsibilities</strong></h2>\n<h3><strong>Customer Integration &amp; Deployment</strong></h3>\n<ul>\n<li>Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements</li>\n<li>Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)</li>\n<li>Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows</li>\n<li>Deploy and configure AI models and agents within customer security and compliance boundaries</li>\n</ul>\n<h3><strong>AI Agent Development</strong></h3>\n<ul>\n<li>Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation</li>\n<li>Architect multi-agent systems that orchestrate between different models, tools, and data sources</li>\n<li>Implement evaluation frameworks to measure agent performance and iterate toward business objectives</li>\n<li>Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement</li>\n</ul>\n<h3><strong>Prompt Engineering &amp; Optimization</strong></h3>\n<ul>\n<li>Create sophisticated prompt engineering strategies optimized for customer-specific domains and data</li>\n<li>Build and maintain prompt libraries, templates, and best practices for customer use cases</li>\n<li>Conduct systematic prompt experimentation and A/B testing to improve model outputs</li>\n<li>Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate</li>\n</ul>\n<h3><strong>Technical Leadership &amp; Collaboration</strong></h3>\n<ul>\n<li>Serve as the primary technical point of contact for strategic enterprise accounts</li>\n<li>Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration</li>\n<li>Provide technical training and knowledge transfer to customer teams</li>\n<li>Work closely with Scale's product and engineering teams to translate customer needs into product improvements</li>\n<li>Document technical architectures, integration patterns, and best practices</li>\n</ul>\n<h3><strong>Problem Solving &amp; Innovation</strong></h3>\n<ul>\n<li>Debug complex technical issues across the entire stack, from data pipelines to model outputs</li>\n<li>Rapidly prototype solutions to unblock customers and prove out new use cases</li>\n<li>Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems</li>\n<li>Identify opportunities for productization based on common customer patterns</li>\n</ul>\n<h2><strong>Required Qualifications</strong></h2>\n<ul>\n<li><strong>5+ years of software engineering experience</strong> with strong fundamentals in data structures, algorithms, and system design</li>\n<li><strong>Production Python expertise</strong> with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)</li>\n<li><strong>Experience with cloud platforms</strong> (AWS, GCP, or Azure) and modern data infrastructure</li>\n<li><strong>Strong problem-solving skills</strong> with the ability to navigate ambiguous requirements and rapidly iterate toward solutions</li>\n<li><strong>Excellent communication skills</strong> with the ability to explain complex technical concepts to both technical and non-technical audiences</li>\n</ul>\n<h2><strong>Preferred Qualifications</strong></h2>\n<p><em>Agent Development Wiz</em></p>\n<ul>\n<li>Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures</li>\n<li>Experience building and deploying AI agents or autonomous systems in production</li>\n<li>Knowledge of vector databases and semantic search systems</li>\n<li>Contributions to open-source AI/ML projects</li>\n</ul>\n<p><em>Infrastructure Guru</em></p>\n<ul>\n<li>Experience with containerization (Docker, Kubernetes) and CI/CD pipelines</li>\n<li>Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools</li>\n<li>Previous work in a devops, platform, or infra role</li>\n<li>Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)</li>\n</ul>\n<p><em>Customer Product Whisperer</em></p>\n<ul>\n<li>Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role</li>\n<li>Domain expertise in verticals like finance, healthcare, government, or manufacturing</li>\n<li>Experience with technical enablement or teaching programs</li>\n</ul>\n<h2><strong>Sample Projects</strong></h2>\n<p>The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.</p>\n<h3><strong>Deep Research for Due Diligence</strong></h3>\n<p>For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly.</p>\n<h3><strong>Churn Prediction</strong></h3>\n<p>Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a \"next best action\" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn.</p>\n<h3><strong>Data Extraction Voice Agent</strong></h3>\n<p>We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week.</p><div class=\"content-pay-transparency\"><div class=\"pay-input\"><div class=\"description\"><p><em>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</em></p></div><div class=\"title\">Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</div><div class=\"pay-range\"><span>$216,000</span><span class=\"divider\">&mdash;</span><span>$270,000 USD</span></div></div></div><div class=\"content-conclusion\"><p><strong><em>PLEASE NOTE:&nbsp;</em></strong><em>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</em></p>\n<p><strong>About Us:</strong></p>\n<p><em>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</em></p>\n<p><em>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.&nbsp;</em></p>\n<p><em>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </em><a href=\"https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf\"><em>Know Your Rights poster</em></a><em> for additional information.</em></p>\n<p><em>We comply with the United States Department of Labor's </em><em>Pay Transparency provision</em><em>.&nbsp;</em></p>\n<p><em><strong>PLEASE NOTE: </strong>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our <a href=\"https://scale.com/legal/privacy\" target=\"_blank\">privacy policy</a> for additional information.</em></p></div>","location":"San Francisco, CA; New York, NY","city":"San Francisco","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":216000,"salaryMax":270000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/scaleai/jobs/4694863005"}],"postedAt":"2026-05-19T08:10:19.091Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Hugging Face","OpenAI API"],"techStackTags":["AWS","Azure","Docker","GCP","Kubernetes","Python","Terraform"],"agenticFrameworks":["LangChain","LlamaIndex"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#848484","vibrant":"#7f7f7f","darkMuted":"#4c4c4c","lightMuted":"#b4b4b4","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":35,"slug":"scale-ai-senior-forward-deployed-ai-engineer-enterprise-dNmhex","isFresh":true,"featured":false},{"title":"AI Engineer - FDE (Forward Deployed Engineer)","companyName":"Databricks","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://databricks.com&size=128","companyWebsite":"https://databricks.com","description":"<p><strong>AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)</strong></p>\n<p><strong>Mission</strong></p>\n<p>The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.</p>\n<p><strong>The impact you will have:</strong></p>\n<ul>\n<li>Develop cutting-edge GenAI solutions, incorporating the latest techniques from <a href=\"https://www.databricks.com/blog/category/databricks-ai?categories=databricks-ai%2Cai-research%2Cai-engineering\">Databricks AI research</a> to solve customer problems</li>\n<li>Own production rollouts of consumer and internally facing GenAI applications</li>\n<li>Serve as a trusted technical advisor to customers across a variety of domains</li>\n<li>Present at conferences such as <a href=\"https://www.databricks.com/dataaisummit\">Data + AI Summit</a>, recognized as a thought leader internally and externally</li>\n<li>Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap&nbsp;</li>\n</ul>\n<p><strong>What we look for:</strong></p>\n<ul>\n<li>Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy</li>\n<li>Expertise in deploying production-grade GenAI applications, including evaluation and optimizations&nbsp;</li>\n<li>Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.</li>\n<li>Experience building production-grade machine learning deployments on AWS, Azure, or GCP</li>\n<li>Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience</li>\n<li>Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike</li>\n<li>Passion for collaboration, life-long learning, and driving business value through AI</li>\n<li>[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets</li>\n</ul><div class=\"content-conclusion\"><p><strong>About Databricks</strong></p>\n<p><span style=\"font-family: arial, sans-serif;\">Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on&nbsp;<span style=\"color: rgb(255, 54, 33);\"><a style=\"color: rgb(255, 54, 33);\" href=\"https://twitter.com/databricks\" target=\"_blank\" data-saferedirecturl=\"https://www.google.com/url?q=https://twitter.com/databricks&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C\">Twitter</a>,&nbsp;<a style=\"color: rgb(255, 54, 33);\" href=\"https://www.linkedin.com/company/databricks\" target=\"_blank\" data-saferedirecturl=\"https://www.google.com/url?q=https://www.linkedin.com/company/databricks&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt\">LinkedIn</a>&nbsp;<span style=\"color: rgb(0, 0, 0);\">and</span>&nbsp;<a style=\"color: rgb(255, 54, 33);\" href=\"https://www.facebook.com/databricksinc\" target=\"_blank\" data-saferedirecturl=\"https://www.google.com/url?q=https://www.facebook.com/databricksinc&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ\">Facebook</a></span>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href=\"https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing\">here</a>.<br><br></p>\n<p><strong>Our Commitment to Diversity and Inclusion</strong></p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>\n<p><strong>Compliance</strong></p>\n<p><strong><span style=\"font-weight: 400;\">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>","location":"Remote - United Kingdom","city":"London","locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://databricks.com/company/careers/open-positions/job?gh_jid=8551531002"}],"postedAt":"2026-05-19T08:10:19.091Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Databricks","Hugging Face","PyTorch","scikit-learn"],"techStackTags":["AWS","Azure","GCP","Python","Spark","pandas"],"agenticFrameworks":["DSPy","LangChain"],"geoRegion":"eu","countries":["GB"],"remoteScope":"global","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#971101","vibrant":"#fc341c","darkMuted":"#971101","lightMuted":"#971101","darkVibrant":"#820f01","lightVibrant":"#fd897c"},"viewCount":4,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":77,"slug":"databricks-ai-engineer-fde-forward-deployed-engineer-kanR7y","isFresh":true,"featured":false},{"title":"Senior RAG Engineer","companyName":"Logicalis Spain","companyLogoUrl":"https://www.google.com/s2/favicons?domain=es.logicalis.com&sz=128","companyWebsite":"https://www.es.logicalis.com","description":"<p>Logicalis Spain is hiring a Senior RAG Engineer in Madrid to design and deploy production-grade Retrieval-Augmented Generation solutions, with emphasis on vector databases, data pipelines, AWS integration, and AI solution implementation.</p><h2>Responsibilities</h2><ul><li>Design and deploy RAG pipelines in production</li><li>Integrate multiple knowledge sources</li><li>Optimise response quality</li><li>Develop scalable multi-country solutions</li><li>Work with AWS Bedrock, S3, Lambda, API Gateway, OpenSearch, Pinecone, FAISS</li></ul><h2>Requirements</h2><ul><li>3+ years of production RAG deployment experience</li><li>Strong vector database knowledge</li><li>AWS experience</li></ul><p>Hybrid position in Pozuelo de Alarcón (Madrid). Indefinite contract.</p>","location":"Madrid, Spain","city":"Madrid","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://careers.es.logicalis.com/jobs/7611558-senior-rag-engineer"}],"postedAt":"2026-05-19T08:10:19.091Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["AWS Bedrock","FAISS","OpenSearch","Pinecone"],"techStackTags":["AWS","Python","Vector Databases"],"agenticFrameworks":[],"geoRegion":"eu","countries":["ES"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#881510","vibrant":"#e42c25","darkMuted":"#881510","lightMuted":"#8c0c0c","darkVibrant":"#75120e","lightVibrant":"#f48484"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":14,"slug":"logicalis-spain-senior-rag-engineer-DJAlqO","isFresh":true,"featured":false},{"title":"Principal Applied ML Researcher (Agentic Systems & Applied AI Platform)","companyName":"Trase Systems","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://trase.ai&size=128","companyWebsite":"https://trasesystems.com","description":"<h1>Principal Applied ML Researcher (Agentic Systems &amp; Applied AI Platform)</h1>\n<p><strong>Locations:</strong> Seattle, WA | McLean, VA | Remote (US)</p>\n<p><strong>Salary:</strong> $230,000-$300,000</p>\n<h2>About the role</h2>\n<p>Red Cell Partners seeks a Principal Applied ML Researcher for their Trase Systems division, focused on agentic AI systems and applied platforms. This role drives ML strategy for Trase OS, an agentic execution platform for regulated environments.</p>\n<h2>Key Responsibilities</h2>\n<ul>\n<li>Advance technical breakthroughs in agent infrastructure and LLM applications</li>\n<li>Own the complete research-to-production lifecycle for agentic systems</li>\n<li>Design how LLMs operate within agent workflows, tool use, and multi-step reasoning</li>\n<li>Implement prompting strategies, multi-agent orchestration, memory management, and human-in-the-loop controls</li>\n<li>Establish evaluation frameworks connecting model performance to real-world outcomes</li>\n<li>Build enterprise-grade AI systems for global customers in regulated settings</li>\n<li>Mentor technical staff and propagate best practices</li>\n</ul>\n<h2>Required Qualifications</h2>\n<ul>\n<li>12-15+ years of experience in machine learning with production systems deployment</li>\n<li>Strong Python programming; experience with Java or C++ preferred</li>\n<li>Deep expertise in LLMs and generative AI, NLP or multimodal systems, deep learning, or graph learning</li>\n<li>Hands-on background with prompt engineering and multi-agent orchestration</li>\n<li>Enterprise AI system shipping experience at scale</li>\n<li>Proficiency designing evaluation frameworks and benchmarks</li>\n<li>Understanding of production ML behavior, reliability, and failure modes</li>\n<li>Experience in regulated or constrained deployment environments</li>\n</ul>\n<h2>Notable</h2>\n<p>Trase ranks highly on the Hugging Face GAIA Leaderboard for Generalized AI Assistants.</p>\n<h2>Compensation &amp; Benefits</h2>\n<ul>\n<li>Salary: $230,000-$300,000</li>\n<li>Comprehensive health coverage (medical, dental, vision)</li>\n<li>14-week paid parental leave</li>\n<li>Unlimited PTO</li>\n<li>401(k) and equity options available</li>\n<li>Professional development support</li>\n</ul>","location":"Remote - United States (also Seattle WA, McLean VA)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"principal","salaryMin":230000,"salaryMax":300000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/redcellpartners/jobs/5093368007"}],"postedAt":"2026-05-19T08:10:19.091Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Hugging Face"],"techStackTags":["C++","Java","Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"global","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#962602","vibrant":"#f63f04","darkMuted":"#040404","lightMuted":"#962602","darkVibrant":"#74044c","lightVibrant":"#fc9b7c"},"viewCount":1,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":29,"slug":"trase-systems-principal-applied-ml-researcher-agentic-systems-and-applied-ai-platform-OvCaPc","isFresh":true,"featured":false},{"title":"Software Engineer, AI SDK","companyName":"Temporal Technologies","companyLogoUrl":"https://www.google.com/s2/favicons?domain=temporal.io&sz=128","companyWebsite":"https://temporal.io","description":"<p>Temporal Technologies is hiring a Software Engineer to build AI SDK features that help developers build reliable AI agents and applications on top of Temporal's durable execution platform.</p><p><strong>What you will do:</strong></p><ul><li>Design and implement Temporal AI SDK features supporting a broad variety of frameworks and libraries</li><li>Develop deep expertise in AI application development techniques and emerging architectures</li><li>Work across Python and TypeScript codebases</li><li>Own features end-to-end with focus on reliability and developer experience</li><li>Serve as a domain expert on AI design patterns and best practices, providing canonical examples to engineering and field teams</li><li>Engage directly with the developer community for debugging and feedback</li><li>Write technical documentation on Temporal concepts and APIs</li><li>Make extensive use of AI coding tools, especially to ensure quality across the wide variety of frameworks and integrations</li></ul><p><strong>Requirements:</strong></p><ul><li>3+ years professional software engineering experience</li><li>Passion for generative AI, particularly agents and coding</li><li>Deep understanding of concurrent programming</li><li>API design and documentation experience</li><li>Fluency in multiple programming languages</li></ul><p><strong>Preferred:</strong> familiarity with Temporal's programming model, experience building AI agents, ML or distributed systems background.</p>","location":"Remote - United States or Canada","city":null,"locationType":"remote","employmentType":"full-time","seniority":"mid","salaryMin":160000,"salaryMax":200000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/temporaltechnologies/jobs/5134414007"}],"postedAt":"2026-05-19T08:10:19.091Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Python","TypeScript"],"agenticFrameworks":["Vercel AI SDK"],"geoRegion":"us","countries":["CA","US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#26098f","vibrant":"#7754f4","darkMuted":"#26098f","lightMuted":"#3f0296","darkVibrant":"#21087c","lightVibrant":"#a364fc"},"viewCount":3,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":2,"impressionCount":29,"slug":"temporal-technologies-software-engineer-ai-sdk-I5zHxa","isFresh":true,"featured":false},{"title":"Staff Forward Deployed AI Engineer, Enterprise","companyName":"Scale AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://scale.com&size=128","companyWebsite":"https://scale.com","description":"<h2><strong>About Scale AI</strong></h2>\n<p>Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities.</p>\n<h2><strong>Role Overview</strong></h2>\n<p>As a Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.</p>\n<p>This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.</p>\n<h2><strong>Key Responsibilities</strong></h2>\n<h3><strong>Customer Integration &amp; Deployment</strong></h3>\n<ul>\n<li>Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements</li>\n<li>Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)</li>\n<li>Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows</li>\n<li>Deploy and configure AI models and agents within customer security and compliance boundaries</li>\n</ul>\n<h3><strong>AI Agent Development</strong></h3>\n<ul>\n<li>Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation</li>\n<li>Architect multi-agent systems that orchestrate between different models, tools, and data sources</li>\n<li>Implement evaluation frameworks to measure agent performance and iterate toward business objectives</li>\n<li>Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement</li>\n</ul>\n<h3><strong>Prompt Engineering &amp; Optimization</strong></h3>\n<ul>\n<li>Create sophisticated prompt engineering strategies optimized for customer-specific domains and data</li>\n<li>Build and maintain prompt libraries, templates, and best practices for customer use cases</li>\n<li>Conduct systematic prompt experimentation and A/B testing to improve model outputs</li>\n<li>Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate</li>\n</ul>\n<h3><strong>Technical Leadership &amp; Collaboration</strong></h3>\n<ul>\n<li>Serve as the primary technical point of contact for strategic enterprise accounts</li>\n<li>Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration</li>\n<li>Provide technical training and knowledge transfer to customer teams</li>\n<li>Work closely with Scale's product and engineering teams to translate customer needs into product improvements</li>\n<li>Document technical architectures, integration patterns, and best practices</li>\n</ul>\n<h3><strong>Problem Solving &amp; Innovation</strong></h3>\n<ul>\n<li>Debug complex technical issues across the entire stack, from data pipelines to model outputs</li>\n<li>Rapidly prototype solutions to unblock customers and prove out new use cases</li>\n<li>Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems</li>\n<li>Identify opportunities for productization based on common customer patterns</li>\n</ul>\n<h2><strong>Required Qualifications</strong></h2>\n<ul>\n<li><strong>8+ years of software engineering experience</strong> with strong fundamentals in data structures, algorithms, and system design</li>\n<li><strong>Production Python expertise</strong> with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)</li>\n<li><strong>Experience with cloud platforms</strong> (AWS, GCP, or Azure) and modern data infrastructure</li>\n<li><strong>Strong problem-solving skills</strong> with the ability to navigate ambiguous requirements and rapidly iterate toward solutions</li>\n<li><strong>Excellent communication skills</strong> with the ability to explain complex technical concepts to both technical and non-technical audiences</li>\n</ul>\n<h2><strong>Preferred Qualifications</strong></h2>\n<p><em>Agent Development Wiz</em></p>\n<ul>\n<li>Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures</li>\n<li>Experience building and deploying AI agents or autonomous systems in production</li>\n<li>Knowledge of vector databases and semantic search systems</li>\n<li>Contributions to open-source AI/ML projects</li>\n</ul>\n<p><em>Infrastructure Guru</em></p>\n<ul>\n<li>Experience with containerization (Docker, Kubernetes) and CI/CD pipelines</li>\n<li>Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools</li>\n<li>Previous work in a devops, platform, or infra role</li>\n<li>Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)</li>\n</ul>\n<p><em>Customer Product Whisperer</em></p>\n<ul>\n<li>Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role</li>\n<li>Domain expertise in verticals like finance, healthcare, government, or manufacturing</li>\n<li>Experience with technical enablement or teaching programs</li>\n</ul>\n<h2><strong>Sample Projects</strong></h2>\n<p>The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.</p>\n<h3><strong>Deep Research for Due Diligence</strong></h3>\n<p>For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly.</p>\n<h3><strong>Churn Prediction</strong></h3>\n<p>Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a \"next best action\" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn.</p>\n<h3><strong>Data Extraction Voice Agent</strong></h3>\n<p>We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week.</p><div class=\"content-pay-transparency\"><div class=\"pay-input\"><div class=\"description\"><p><em>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</em></p></div><div class=\"title\">Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</div><div class=\"pay-range\"><span>$252,000</span><span class=\"divider\">&mdash;</span><span>$315,000 USD</span></div></div></div><div class=\"content-conclusion\"><p><strong><em>PLEASE NOTE:&nbsp;</em></strong><em>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</em></p>\n<p><strong>About Us:</strong></p>\n<p><em>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</em></p>\n<p><em>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.&nbsp;</em></p>\n<p><em>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </em><a href=\"https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf\"><em>Know Your Rights poster</em></a><em> for additional information.</em></p>\n<p><em>We comply with the United States Department of Labor's </em><em>Pay Transparency provision</em><em>.&nbsp;</em></p>\n<p><em><strong>PLEASE NOTE: </strong>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our <a href=\"https://scale.com/legal/privacy\" target=\"_blank\">privacy policy</a> for additional information.</em></p></div>","location":"San Francisco, CA; New York, NY","city":"San Francisco","locationType":"hybrid","employmentType":"full-time","seniority":"staff","salaryMin":252000,"salaryMax":315000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/scaleai/jobs/4694865005"}],"postedAt":"2026-05-19T08:10:19.091Z","expiresAt":"2026-06-18T00:00:00.000Z","aiInfrastructure":["Hugging Face","OpenAI API"],"techStackTags":["AWS","Azure","Docker","GCP","Kubernetes","Python","Terraform"],"agenticFrameworks":["LangChain","LlamaIndex"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#848484","vibrant":"#7f7f7f","darkMuted":"#4c4c4c","lightMuted":"#b4b4b4","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":33,"slug":"scale-ai-staff-forward-deployed-ai-engineer-enterprise-MA8Kjv","isFresh":true,"featured":false}],"meta":{"total":1056,"page":1,"per_page":50}}