Gatik AI is hiring an AI Operations & 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.
\nRequirements: 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.
\nWork model: 5 days/week onsite in Mountain View. Compensation: $170,000 - $220,000.
","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":129,"featuredAt":"2026-04-21T09:44:41.176Z","featuredUntil":"2026-05-21T09:44:41.176Z","featuredRenewalCount":0,"clickCount":27,"impressionCount":1691,"slug":"gatik-ai-ai-operations-and-rag-architect-zoPnGI","isFresh":true,"featured":true},{"title":"AI Engineer","companyName":"36 Labs","companyLogoUrl":"https://sntx9f48h9yditjs.public.blob.vercel-storage.com/logos/ebdbe150-2889-42e7-ab98-9c7d9d25dc4f.webp","companyWebsite":"https://36labs.ai","description":"36 Labs is an early stage startup using AI and machine learning to build creativity into LLMs.
We're looking for an AI Engineer to own and push forward the agentic pipelines at the core of what we're building. Joining at this stage means real ownership over your work and the opportunity to establish yourself as a core member of a fast-growing startup.
What you'll be doing
Building and improving agentic LLM pipelines: multi-agent orchestration, tool use, context engineering, structured generation
Running experiments with new models and techniques, and taking what works to production
Closing the loop between what the system generates and how it performs in the real world, so it improves every cycle
Treating prompts, knowledge bases, and agent reasoning as first-class engineering artifacts: versioned, tested, continuously improved
Turning raw, messy real-world data into structured signal that drives what the system generates
Implementing scalable data pipelines, optimizing models for performance and accuracy, and ensuring they are production-ready
Building evals and pipeline observability so we can tell what's working, catch regressions, and measure output quality
What we're looking for
Production experience building LLM-powered systems: prompting, context engineering, RAG, agent architectures, evals
Strong programming skills with proficiency in Python and experience building production applications, including version control, CI/CD, and modern software development practices
Statistical intuition and technical judgment: you recognise when a model's output is unreliable despite appearing convincing, know when to use traditional deterministic approaches, and understand how to optimise an LLM
Comfortable moving fast where things are loosely defined and priorities compete; you wear several hats and own problems end-to-end
Strong technical communication: able to translate complex AI concepts into architectural decisions and actionable implementation plans
Can showcase solving hard problems with artifacts like past projects or GitHub contributions
Liberate is hiring a Staff AI Agent Engineer to own complex, high-impact agent deployments from design through production. Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry.
\nLocation: Boston or San Francisco (Berkeley), hybrid (2 days/week in office)
\nThe 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 and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
\nThe Personalization team at Spotify makes deciding what to listen to next feel effortless for hundreds of millions of users — from Discover Weekly to our newest AI-powered experiences. We’re now building conversational AI capabilities that let users interact with Spotify in natural language. You’ll join a squad working at the core of this space, shaping how users discover and engage with audio through intelligent, responsive systems.
\nThe 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. These ranges may be modified in the future.
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress.
\nBecome part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team.
\nTitle of position: Principal Machine Learning Engineer - Gen AI, Machine Learning, Graph ML
\nPosition type: Full time
\nLocation: Seattle, WA / San Jose, CA
\nPosition reports to: Director of SW Systems Engineering
\nApplication deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.
\nWork authorization: Applicants must have legal authorization to work in the country where the role will be performed.
\nParloa is hiring a Senior Agent Architect (New York office; remote within USA eligible). The role bridges product implementation and customer success, focusing on conversational AI systems.
\nUsing your expertise in Large Language Models (LLMs), Prompt Engineering, NLP & NLU conversational design, and integration platforms, you will craft effective AI workflows and build connections to enterprise systems to ensure quality, performance, and end-to-end operational readiness.
\nYou will design, prototype, and validate conversational solutions for AI agent deployments, including the integration layer that connects Parloa's platform to customers' existing technology stacks.
\nCompensation: $113,000–$129,000 USD OTE (base + variable + equity).
","location":"New York Office; Remotely in the USA","city":"New York","locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":113000,"salaryMax":129000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.eu.greenhouse.io/parloa/jobs/4871790101"}],"postedAt":"2026-05-22T18:01:18.485Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#888484","vibrant":"#877777","darkMuted":"#4c4c44","lightMuted":"#c4bcbc","darkVibrant":"#463e3e","lightVibrant":"#c0b8b8"},"viewCount":12,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":3,"impressionCount":291,"slug":"parloa-senior-agent-architect-1cFbDZ","isFresh":true,"featured":false},{"title":"Senior Backend Engineer - Surfaces/PZN","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":"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 and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.
\nThe Experimentation and Learning team (SEAL) sits within the Surfaces Foundation product area in the Personalization mission. This team builds the experimentation and learning infrastructure for Spotify Surfaces — powering how we test, evaluate, and ship personalized experiences across Home and beyond. By creating a unified, agent-driven experimentation ecosystem, we enable teams to go from a raw hypothesis to a fully configured, running experiment in minutes instead of days.
\nVindexa is an AI-powered compliance platform purpose-built for the clean energy industry. We automate the verification of Prevailing Wage and Apprenticeship (PWA) requirements under the Inflation Reduction Act -- the compliance obligations that determine whether renewable energy developers keep or lose their IRA tax credits.
\nThe stakes are real. A single construction project can carry $50M+ in tax credit exposure. Developers, EPC contractors, and their tax equity partners need certainty that compliance holds up to IRS scrutiny in real time, not months after the fact.
\nWe built the alternative: an AI system that ingests certified payroll data, validates it against DOL wage determinations and apprenticeship program requirements, surfaces violations in real time, and generates the audit trail needed for tax credit certification.
\nVindexa is backed by AI Fund (Andrew Ng) and AES Clean Energy, one of the largest renewable energy developers in the world, as our anchor design partner and early customer. The product is built, the first customer relationship is deep, and the pipeline is building. Now we need the engineering foundation to match the ambition.
\nYou will be Vindexa's first engineering hire and the technical backbone of the company. This is not a role where you execute someone else's tickets. You will make architectural decisions, set engineering standards, own the codebase, and build the AI-powered workflows that make our compliance engine genuinely better than anything else in the market.
\nYou will work directly alongside our CEO, who is technical and actively involved in product and engineering, and operate with significant autonomy. We move fast using AI coding tools and agents as force multipliers, not crutches. The expectation is that you are already building this way and can push the pace further.
\nAs we scale, this role grows with it. You are not just the first engineer -- you are the future engineering leader.
\n\n
\n
Frontend: React 18, TypeScript, Vite, Tailwind CSS, shadcn/ui, React Query, React Hook Form
\nBackend: Supabase (PostgreSQL, Auth, Storage, Edge Functions), Deno runtime, TypeScript
\nAI / Agents: Google Gemini (extraction, classification, chat), Claude API, custom Edge Function agents
\nTooling: Cursor / AI coding agents, Vercel (frontend deploy), Resend (email), Linear (PM), GitHub
\nTesting: Vitest, React Testing Library, pgTAP (database)
\nThe stack matters less than the mindset. If you have strong opinions about different approaches, bring them.
\nYou are joining a pre-seed company with real customers, real revenue on the horizon, and meaningful equity upside. Standard 4-year vesting with a 1-year cliff. We will work with you on comparable acceleration protections.
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","location":"Santa Monica, CA","city":"Santa Monica","locationType":"hybrid","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","label":"Apply on Lever","value":"https://jobs.lever.co/AIFund/4dd6fa0b-2996-4d2d-9bcc-fe9e3afbc378"}],"postedAt":"2026-05-22T18:01:18.485Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":["Anthropic","Gemini"],"techStackTags":["Node.js","PostgreSQL","React","TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#015397","vibrant":"#048cfc","darkMuted":"#015397","lightMuted":"#035595","darkVibrant":"#014883","lightVibrant":"#7dc4fc"},"viewCount":8,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":297,"slug":"ai-fund-founding-engineer-vindexa-t8-HxB","isFresh":true,"featured":false},{"title":"AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data(10030)","companyName":"Extreme Networks","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://extremenetworks.com&size=128","companyWebsite":"https://extremenetworks.com","description":"
AI Fund is hiring an Engineer in Residence for the AA Firewall residency program in Mountain View, CA (12-week, full-time, on-site contract). The role is to build AI agents that operate behind the enterprise firewall, automating operational tasks that currently require manual intervention or one-off scripts by securely connecting to internal databases, APIs, and legacy systems.
\nThis is a 12-week, full-time, on-site residency in Mountain View, California. You'll be building an AI Fund idea. Compensation is $10,000/month for 12 weeks ($30,000 total). This is a contract role during the residency. If the build leads to a funded company, the next step is a founder-level role with meaningful equity upside. Only considering candidates within commuting distance from Mountain View.
","location":"Mountain View, CA","city":"Mountain View","locationType":"onsite","employmentType":"contract","seniority":"mid","salaryMin":120000,"salaryMax":120000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Lever","value":"https://jobs.lever.co/AIFund/0b219991-32db-4827-b052-7207faac151d"}],"postedAt":"2026-05-22T18:01:18.485Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["GraphQL"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#015397","vibrant":"#048cfc","darkMuted":"#015397","lightMuted":"#035595","darkVibrant":"#014883","lightVibrant":"#7dc4fc"},"viewCount":4,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":299,"slug":"ai-fund-engineer-in-residence-aa-firewall-etTTop","isFresh":true,"featured":false},{"title":"Forward Deployed Software Engineer - US Government - Federal Health and Civilian","companyName":"Palantir Technologies","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://palantir.com&size=128","companyWebsite":"https://palantir.com","description":"AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, and we’re building the training and tools to support them. Our mission is to empower everyone to build with AI. We have deep connections throughout the AI community, exciting technology, and wonderful teammates, and are seeking a lead engineer to join us on the Context Hub project.
\nWe recently launched Context Hub, an open-source CLI tool that gives AI coding agents the up-to-date API documentation they need—solving the critical problem of agents hallucinating outdated APIs and parameters. Context Hub gained over 10,000 GitHub stars in its first two weeks, making it one of the fastest-growing open-source developer tools in the AI ecosystem. Published as @aisuite/chub on npm and MIT-licensed, the project already has thousands of curated API docs contributed by the community and is growing fast. Additionally, we are evolving Context Hub toward being a Stack Overflow for agents, where agentic feedback on the documentation will be used to help all other agents.
\nWe’re looking for a visiting AI Engineer to join the Context Hub team to lead the next stage of its development. This will shape the future of how AI coding agents gather context, write code, and give feedback that helps the whole community. . You’ll work directly with Andrew Ng and our team on the core product—building features that are used by thousands of developers and their AI coding agents every day.
\nThis is a hands-on engineering role where you’ll design and build infrastructure, improve how agents discover and consume documentation, and help grow Context Hub from a powerful CLI into a comprehensive knowledge sharing platform for AI agents.
\nIf you are who we look for, you are highly GenAI-enabled, leverage AI-powered tools to build and ship quickly, and bring deep curiosity about AI agents and developer tooling, and a passion for open source.
\nYou must already have authorization to work in the United States. This is a contract role with potential for growth.
\nOwn Context Hub end to end. You'll be the single-threaded leader for the product — responsible for its technical direction, growth strategy, and community health. You won't be handed a roadmap; you'll create it.
\nTalk to developers and understand what they need. The best product decisions come from deep empathy with users. You'll engage directly with the developer community — through GitHub issues, user interviews, and usage data — to identify what to build next and why.
\nInvent new ways for AI agents to discover and use knowledge. Context Hub started as a CLI for fetching docs, but there's enormous room to push further: smarter retrieval, agent-to-agent knowledge sharing, self-improving documentation, private team contexts, and ideas we haven't thought of yet. You'll explore the frontier.
\nBuild and maintain the Context Hub CLI and core infrastructure, ensuring reliability and performance as usage scales across thousands of developers.
\nDesign and implement systems for intelligent documentation retrieval, versioning, and curation so that agents always get the most accurate and relevant context.
\nDevelop features that allow agents to annotate, enrich, and share knowledge across sessions—building toward a self-improving documentation ecosystem (the “Stack Overflow for AI coding agents” vision).
\nCollaborate with the open-source community to review contributions, triage issues, and maintain a high-quality contributor experience.
\nExperiment with LLM-based approaches to automatically validate, summarize, and improve documentation quality.
\nInstrument, monitor, and optimize the tool’s performance and developer experience based on real-world usage patterns.
\nWork closely with Andrew Ng and the engineering team to define the product roadmap and technical direction for Context Hub.
\nCollaborate with internal teams to create content, processes, and AI-powered solutions for scalable support of the developer community around Context Hub.
\nProduct sense for developer tools. You understand what makes developers adopt (and love) a tool. You've shipped something that other developers use — whether it's an open-source project, a CLI, an SDK, or an internal platform — and you made decisions about what to build, not just how to build it.
\nCommunity instincts. You know how open-source communities work — what motivates contributors, how to write docs that people actually read, and how to turn users into advocates. You're comfortable being a public face for a project.
\nStrong proficiency in TypeScript/JavaScript and Node.js, with experience building and shipping CLI tools, developer SDKs, or developer-facing infrastructure.
\nVery strong understanding of LLMs and AI coding agents—you’ve built applications that integrate with or orchestrate language models, and you stay current with the rapidly evolving AI tooling landscape.
\nExperience with npm package publishing, versioning, and open-source project maintenance.
\nStrong systems thinking: you can design APIs, data models, and architectures that are clean, extensible, and well-documented.
\nAI fluency: Strong conceptual understanding of AI trends and technologies. Familiarity and experience with AI-powered coding tools such as Claude Code, Codex or similar—having built or prototyped software with AI assistance.
\nEntrepreneurial mindset: Self-starter comfortable working in a fast-paced, small-team environment where you own projects end to end and thrive in ambiguity.
\n3+ years of professional software engineering experience.
\nExperience maintaining a popular open-source project (1,000+ stars).
\nBackground in information retrieval, search, or knowledge graph systems.
\nExperience with MCP (Model Context Protocol), tool-use frameworks, or agent orchestration platforms.
\nFamiliarity with documentation-as-code workflows and static site generators.
\nGraduate degree (Master’s or PhD) in Computer Science, AI, or a related field.
\nAt DeepLearning.AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. DeepLearning.AI believes that diversity and inclusion among our employees are critical to our success as a company. We seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Selection for employment is decided based on qualifications, merit, and business needs.
","location":"Mountain View, CA","city":"Mountain View","locationType":"onsite","employmentType":"contract","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","label":"Apply on Lever","value":"https://jobs.lever.co/AIFund/3ae9d0ee-9eb2-44df-8fbe-5676384fcf90"}],"postedAt":"2026-05-22T18:01:18.485Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["JavaScript","Node.js","TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#015397","vibrant":"#048cfc","darkMuted":"#015397","lightMuted":"#035595","darkVibrant":"#014883","lightVibrant":"#7dc4fc"},"viewCount":4,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":337,"slug":"ai-fund-visiting-engineer-contexthub-MT_sj8","isFresh":true,"featured":false},{"title":"Lead Agent Architect - SAP","companyName":"Parloa","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://parloa.com&size=128","companyWebsite":"https://parloa.com","description":"Parloa is hiring a Lead Agent Architect - SAP in New York. This is a customer-facing role helping transform customer service with AI agents in enterprise SAP environments.
\nYou'll support implementations where Parloa's conversational AI platform must work reliably with SAP data, processes, and integration constraints, from design through testing and go-live readiness. You combine LLM and agent design (prompt engineering, conversational structure, quality, operational readiness) with hands-on SAP integration literacy.
\nYou will design, prototype, validate, and refine conversational solutions and agent workflows that depend on SAP-backed use cases (order management, customer data, case management, transactional queries), while ensuring the integration layer between Parloa and SAP is reflected accurately in agent behavior, tools, and guardrails.
\nCompensation: $142,000–$160,000 USD OTE (base + variable + equity).
","location":"New York Office","city":"New York","locationType":"onsite","employmentType":"full-time","seniority":"lead","salaryMin":142000,"salaryMax":160000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.eu.greenhouse.io/parloa/jobs/4866190101"}],"postedAt":"2026-05-22T18:01:18.485Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Azure","Kubernetes","Node.js","TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#888484","vibrant":"#877777","darkMuted":"#4c4c44","lightMuted":"#c4bcbc","darkVibrant":"#463e3e","lightVibrant":"#c0b8b8"},"viewCount":3,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":284,"slug":"parloa-lead-agent-architect-sap-46R0AD","isFresh":true,"featured":false},{"title":"Senior Developer - AI Software Engineer","companyName":"Neuberger Berman","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://nb.com&size=128","companyWebsite":"https://www.nb.com","description":"Neuberger Berman is hiring a Senior Developer focused on designing and deploying AI-powered systems for the Private Markets business.
\nTech stack: Python, Git, CI/CD, Docker, AWS Bedrock, Azure AI Foundry, MCP
\nLocation: New York, NY (hybrid, 2 days/week in office)
Salary: $130,000-$170,000 base + discretionary bonus
Visa sponsorship: Not available
Extend is hiring a Senior AI Software Engineer, Internal Enablement (remote, US). You'll build an agentic platform for non-engineering roles — secure agent infrastructure, MCP connectors, and skill libraries that enable company-wide AI tooling adoption.
\nCompensation: $160,000–$180,000 base + equity. Benefits: full medical/dental/vision, flexible PTO, 401(k).
","location":"Remote, US","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":160000,"salaryMax":180000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/extend/jobs/5989772004"}],"postedAt":"2026-05-22T18:01:18.484Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["AWS","Python","Rust","TypeScript"],"agenticFrameworks":["AutoGen","CrewAI","LangChain","OpenAI Agents SDK"],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c7c84","vibrant":"#827e7c","darkMuted":"#3c3f47","lightMuted":"#c0bebd","darkVibrant":"#434140","lightVibrant":"#bebcbb"},"viewCount":21,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":6,"impressionCount":393,"slug":"extend-senior-ai-software-engineer-internal-enablement-n7B7kO","isFresh":true,"featured":false},{"title":"Sr. Engineer, AI - AI Detection and Response (AIDR) (Hybrid)","companyName":"CrowdStrike","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://crowdstrike.com&size=128","companyWebsite":"https://www.crowdstrike.com","description":"CrowdStrike is hiring a Sr. Engineer, AI for the AI Detection and Response (AIDR) team. The role is hybrid, requiring 2-3 days per week on-site at one of the posted locations (Sunnyvale CA, Austin TX, or Redmond WA).
\nCrowdStrike is looking for AI engineers who have strong experience in building AI applications and agents on various cloud platforms. The candidate should have a deep understanding of various LLM concepts like RAG, AI Workflows, Agentic AI, AI Agents, AI Agent Frameworks, MCP, A2A. The candidate should have expert level knowledge of a few of the various frameworks like TensorFlow, PyTorch, Autogen, LlamaIndex, LangChain, AWS Agent Core, AI Agent Studio, MS Copilot Studio, etc.
\nThe candidate should be able to understand requirements, research possible solutions, prototype and implement production quality scalable, performant code along with necessary unit and functional tests.
\nBenefits: Market leader in compensation and equity awards, comprehensive wellness programs, competitive vacation/holidays, paid parental and adoption leaves, professional development.
\nCompensation: $140,000–$215,000 base + bonuses, equity grants, and benefits.
","location":"Sunnyvale, CA (also Austin, TX and Redmond, WA)","city":"Sunnyvale","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":140000,"salaryMax":215000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on CrowdStrike Careers","value":"https://crowdstrike.wd5.myworkdayjobs.com/en-US/crowdstrikecareers/job/USA---Sunnyvale-CA/Sr-Engineer--AI---AI-Detection-and-Response--AIDR---Hybrid-_R26576-1"}],"postedAt":"2026-05-22T18:01:18.484Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":["MCP","PyTorch","TensorFlow"],"techStackTags":["AWS","Azure","GCP","Go","Kubernetes","Python"],"agenticFrameworks":["AutoGen","LangChain","LlamaIndex","Microsoft Copilot Studio"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#970101","vibrant":"#fc0404","darkMuted":"#970101","lightMuted":"#970101","darkVibrant":"#830101","lightVibrant":"#fd7b7b"},"viewCount":8,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":342,"slug":"crowdstrike-sr-engineer-ai-ai-detection-and-response-aidr-hybrid-zC_m1v","isFresh":true,"featured":false},{"title":"Software Engineer, AI Forward Deployed","companyName":"Ramp","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://ramp.com&size=128","companyWebsite":"https://ramp.com","description":"Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
As an AI Forward Deployed Engineer, you will build internal and external agents to serve our largest customers. FDE is an agent-first, high-pace, customer-facing engineering team, and we pave the way for Ramp to support the largest and most complex companies in the world. On FDE, you will interact directly with customers and deliver solutions end to end -- understanding pain points, shaping product decisions, and building agents that autonomously expand Ramp's capabilities.
Check out our Engineering Blog and FDE post for more context on our work!
Deliver software end to end that meet the needs of our largest customers — understanding user pain points, scoping product specs, and building agents that autonomously implement solutions.
Build internal and external agents that accelerate our ability to solve customer blockers across the product, and that enable more agentic experiences for end users.
Collaborate closely with Sales, Solutions, Customer Success, and Account Management to close deals, activate customers, and expand the value Ramp provides over time.
Drive the core product engineering roadmap through our embedding model -- specializing within a core product area to develop deep domain expertise and make prioritization calls on when to build a custom solution vs. accelerate a broader initiative.
2+ years of software engineering experience preferred
Extensive experience building with and for agents
Track record of shipping high-quality products at scale
Comfort and excitement to be customer-facing
Desire to work in a fast-paced environment, continuously grow, and master your craft
• Flexible PTO
• Unlimited AI token usage
• Centralized home-office equipment ordering
• Health and wellness stipend
• Budget for intra-office travel
• Weekly coffee stipend
• 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
• One Medical annual membership
• 401(k), including employer match on contributions made while employed by Ramp
• Fertility HRA (up to $10,000 per year)
• Parental leave: up to 16 weeks (80 days) at 100% pay
• Pet insurance
• In-office perks: lunch, snacks, drinks, and more
• Relocation support to NYC or SF (as needed)
• Group medical, dental, and vision coverage through Sun Life
• Life, AD&D, and disability coverage
• Fertility drug coverage (up to $4,000 lifetime)
• Group Retirement Plan with employer match (RRSP + DPSP)
• Parental leave: up to 16 weeks (80 days) at 100% pay, with additional time available at reduced pay
• Employee Assistance Program and virtual care through Lumino Health
• Private medical insurance through Freedom Elite
• Virtual GP and at-home care via eMed x Livi
• Workplace pension through Penfold, with salary sacrifice option
• Parental leave: up to 16 weeks (80 days) at 100% pay, with additional time available at reduced pay
If you are being referred for the role, please contact that person to apply on your behalf.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
","location":"San Francisco, CA","city":"San Francisco","locationType":"remote","employmentType":"full-time","seniority":"mid","salaryMin":168000,"salaryMax":280000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Ashby","value":"https://jobs.ashbyhq.com/ramp/deca582c-a1d0-4705-9975-60aed81ba89f"}],"postedAt":"2026-05-22T18:01:18.484Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#879107","vibrant":"#e4f424","darkMuted":"#777c1c","lightMuted":"#879107","darkVibrant":"#74781c","lightVibrant":"#eff880"},"viewCount":11,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":5,"impressionCount":248,"slug":"ramp-software-engineer-ai-forward-deployed-pfDQqz","isFresh":true,"featured":false},{"title":"AI Engineer","companyName":"Pendo","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://pendo.io&size=128","companyWebsite":"https://pendo.io","description":"Our Emerging Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents.
\nAs an AI Software Engineer, you will build applied AI systems that move from prototype to production. You will bring deep technical capability, strong product judgment, and clear communication to decisions across prompting, fine-tuning, RAG, Productionize AI, and full-stack product delivery. You will partner closely with product and design to frame the right problems and ship AI-native experiences that hold up for real users.
\nThis role is based in our New York office.
\nBeyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.
\nYou're a builder, not a maintainer.
\nYou're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great AI Software Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.
\nYou're AI-curious - genuinely.
\nYou're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.
\nPendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.
\nPendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.
\nLocation: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.
\nCompensation: The expected salary range for this role to be performed in New York, NY is $178,000 - $195,000.
\nBenefits: Highly competitive, employer-heavy coverage including $0 premium options, strong 401(k) match, equity, and flexible time off.
\nEEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.
\nAccessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
","location":"New York, NY","city":"New York","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":178000,"salaryMax":195000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/pendo/jobs/8533491002"}],"postedAt":"2026-05-22T18:01:18.484Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":["LangChain","LlamaIndex"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#8d0b33","vibrant":"#ec1c5c","darkMuted":"#8d0b33","lightMuted":"#8d0b33","darkVibrant":"#7a0a2c","lightVibrant":"#f484a7"},"viewCount":14,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":7,"impressionCount":311,"slug":"pendo-ai-engineer-6Mpbaa","isFresh":true,"featured":false},{"title":"Sr. Distinguished AI Engineer (Agentic AI Platform)","companyName":"Capital One","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://capitalone.com&size=128","companyWebsite":"https://www.capitalone.com","description":"Capital One seeks a Sr. Distinguished AI Engineer to help create responsible and reliable AI systems on the Intelligent Foundations and Experiences (IFX) team. The role focuses on delivering industry-leading AI capabilities through breakthrough product experiences and scalable, high-performance infrastructure.
\nBretton AI is the leading AI agent platform for financial services. Companies like Robinhood, Mercury, and Gusto trust us to automate mission-critical work, starting with anti-money laundering (AML) and counter-terrorist financing investigations.
We've raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures, and other top-tier investors. We're based in downtown San Francisco and our team comes from world-class organizations like SpaceX, Google, Netflix, Stripe, Plaid, and more.
We are looking for a Forward Deployed Engineer (FDE) to work directly with customers to deploy and integrate Bretton’s platform in real-world environments. This role sits at the intersection of engineering, customer deployments, and product discovery, helping customers implement Bretton’s technology in complex enterprise environments while uncovering insights that improve and scale the product.
Deploy Bretton's AI agents at banks, fintechs, and payments companies, navigating the security and compliance requirements that come with regulated environments.
Travel onsite to work through last-mile connectivity challenges, from wiring up core banking integrations to resolving edge cases that only surface in live production.
Partner with BSA officers, AML analysts, and risk teams to translate their workflows and regulatory requirements into agent behavior that reflects how their business actually works.
Build the connectors, configuration tools, and internal frameworks that turn one-off customer solutions into repeatable platform capabilities.
Guide customers from demo through go-live as a trusted technical advisor, helping them resolve issues quickly and expand the value they get from Bretton.
Work cross-functionally with engineering, product, and GTM to remove blockers and do whatever it takes to make customers successful.
Diagnose and resolve issues in real deployments by reproducing problems and collaborating with the engineering team to fix them.
Translate customer usage into product insights by sharing customer needs with engineering and product teams and identifying opportunities to turn recurring solutions into product features.
2+ years of experience as a software engineer or similar
Strong backend or data engineering background
Experience with Python, APIs, data pipelines, and cloud infrastructure
Previous experience in a customer-facing technical role (e.g., solutions engineer, forward deployed engineer, or technical implementation role) is a plus.
Actively building with LLMs and modern AI systems is a must
Excellent communication skills
Ability to explain AI systems to non-technical stakeholders
Strong debugging and problem-solving mindset
Comfort working with enterprise customers
$150k - $200k base salary + meaningful equity
Comprehensive healthcare, 401k matching, commuter benefits
15 days PTO + holidays, unlimited sick days
Flexible leave options
Working late? We cover DoorDash and Uber home
IANS Research is hiring an AI Technical Lead (hybrid, Boston, MA). You'll architect agentic AI systems, design reusable agent frameworks, and guide the engineering strategy that powers IANS' next generation of data-driven products.
\nNice to have: LoRA, PEFT, RLHF fine-tuning; data engineering; Docker/Kubernetes; ethical AI practices.
\nCompensation: $160,000–$200,000 + bonus.
","location":"Boston, MA","city":"Boston","locationType":"hybrid","employmentType":"full-time","seniority":"lead","salaryMin":160000,"salaryMax":200000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/ians/jobs/5072521007"}],"postedAt":"2026-05-22T18:01:18.484Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":["Hugging Face","PyTorch","TensorFlow"],"techStackTags":["Azure","Docker","Kubernetes","Python"],"agenticFrameworks":["LangChain"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#973f01","vibrant":"#fc6a04","darkMuted":"#060692","lightMuted":"#973f01","darkVibrant":"#04045c","lightVibrant":"#fdb17b"},"viewCount":2,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":178,"slug":"ians-ai-technical-lead-9j1hYn","isFresh":true,"featured":false},{"title":"Forward Deployed Engineer","companyName":"Sphinx","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://sphinxsec.com&size=128","companyWebsite":"https://sphinxsec.com","description":"tl;dr: We’re automating compliance for banks and fintechs with AI agents that work like human analysts – on a browser. Demand is growing faster than we can keep up, and we’re expanding our deployment team to meet the needs of major institutions across the U.S., Canada, Europe, and LatAm. If you love shipping real systems in live environments, solving edge cases in record time, and working directly with clients, we should talk.
PS: want to skip the queue? Save Morty from Rick in our AI-proof coding challenge. If things go well, we'll reach out to organize an interview directly with our CTO. And if you win, we pay you $10k, no questions ask.
Before you can move money or open an account, someone has to make sure you’re not a criminal. That’s compliance – and it’s broken.
Sphinx builds AI analysts that work inside browsers, APIs, and internal systems just like humans — automating AML, KYC, KYB, and transaction monitoring end-to-end.
Our agents already handle millions of compliance decisions across banking, fintech, and crypto. Now, we’re scaling fast, and every new deployment pushes the frontier of what’s possible with AI in production.
Massive, unsexy market: Banks spend $50B a year hiring thousands of analysts to review alerts and fill out reports by hand. The space has seen very little innovation, and customers complain about our most well-funded competitors weekly. It's not glamorous – until you realize you're building the intelligence layer that protects the entire financial system.
We don’t lose deals: Yes you heard that right, we’ve won every RFP we’ve been in against our competitors.
Small team, big surface area: Our co-founders previously sold an AI company & have built ML systems that scaled to millions of users and closed deals with major banks. The rest of our team in SF includes PhDs, industry experts, and competitive coders.
Hard tech: we’re going from zero to one; our tech is our moat.
Zero startup bullshit: we’re not chasing investors, we’re chasing customers. We’re trusted by leading banks and fintechs across the world. They’ve seen 90% less manual work, 4× lower costs.
Browser Agents for the Invisible Web
Most financial crime data isn't accessible via APIs – it lives in legacy systems, government portals, and third-party platforms. We're building agents that navigate these systems like humans do: clicking, scrolling, interpreting unstructured data, and adapting to interface changes. This requires computer vision, DOM understanding, and robust error handling at scale.
Adapting to Live Client Environments
Every deployment is unique. You’ll design flexible integration layers, map complex workflows, and make agents resilient to interface changes and client-specific quirks. You’ll ship fixes in live environments, build diagnostic tools, and feed learnings back into our product to make every deployment faster and smarter.
Human-AI Collaboration
Work directly with compliance officers and analysts to translate SOPs into structured agent logic – capturing human judgment and turning it into repeatable automation. From first call to production rollout, you’ll lead the full lifecycle of deployments, bridging engineering, product, and client success.
Decisions at the Speed of Money
Payments don't wait for compliance. We process risk signals at the same speed money moves – millions of transactions, thousands of entities, sub-second decisions. Doing this right on AWS means distributed inference, caching, queue orchestration, and self-healing data pipelines.
You solve problems end-to-end: Our team owns features vertically. You'll architect agent behaviors, build backend systems, optimize ML pipelines, and ship product features – often in the same week.
You have a high bar for quality: In financial crime, \"mostly working\" isn't good enough. You build for uptime, obsess over failure points, and ship agents that institutions trust with billions in transactions.
You’re comfortable in ambiguity: No two client environments are alike. You enjoy the challenge of figuring things out as you go, and have confidence in your ability to become fluent with our product.
You communicate with clarity: You’re the bridge between customers and our codebase. You can translate client needs into precise technical requirements and technical issues into clear explanations.
You're energized by impact: Our customers protect the financial system from criminals. Your code directly prevents money laundering and terrorism financing. That matters.
You hate bureaucracy: You’d rather fix the problem than schedule a meeting about it. You’re happiest when you’re building, experimenting, and making things work.
Intro call (fit & motivation)
Technical screening / take-home
Deep-dive technical interview (no live coding)
Short paid in-person trial
Offer 🎉
🍽 Lunch, dinner and snacks at the office
🏥 Comprehensive healthcare
🏝️ Unlimited PTO
🗺️ Annual offsite (last one in Mexico)!
✈️ Paid relocation & one-month temporary housing
💻 Latest tech and as many monitors as you can fit on a desk
San Francisco, CA (Hybrid – 3 days onsite)
LiveFlow is building the next-generation accounting and finance platform - enabling lean finance teams to run massive enterprises.
We’ve raised over $21M from top-tier investors including YC, YC Continuity, Valar, Seedcamp, WndrCo, Moonfire, and Bradley Horowitz (VP Product, Google).
Today, thousands of companies rely on LiveFlow to streamline their financial workflows, with hundreds of 5/5 ratings on G2.
Our founding team previously worked at Revolut, one of Europe’s fastest-growing fintechs.
At LiveFlow, we expect more from engineers than writing and reading code. You’ll work closely with customers and help shape the product to solve their problems.
We’re looking for people who are not only comfortable with uncertainty, but actively thrive in it. You should want to ship unreasonably fast and iterate rapidly. You should challenge assumptions, solve from first principles, and take great pride in building features that customers love.
You’ll work as closely with a team of talented engineers as you will with product and design. You’ll quickly accrue autonomy and responsibility.
We’re hiring Software Engineers to build AI agents that power the next generation of LiveFlow.
This is a full-stack role at its core, with a strong focus on designing and developing agent-driven systems embedded throughout the product.
We’re building a system of collaborating agents, with precision tools and robust auditability, giving our users superpowers they can deploy with confidence.
Understanding customer workflows, use-cases and jobs to be done
Building AI agents to simplify and eliminate tedious and error-prone tasks
Developing the realtime platform for finance teams to work together and with agents
Designing and scaling APIs and CLI to enable interoperability
Contributing to compounding engineering practices that enable our team to operate more efficiently and effectively
Ensuring high standards of data security, reliability, and compliance
In Engineering:
We offer unlimited budget to use and explore the latest coding tools
You can work with whatever agents and environment you prefer, locally or in the cloud
We employ the principles of compound engineering, expecting everybody to invest in bettering the agentic coding environment, through docs, skills, tools and MCP
We use Linear to spec our work, Graphite for stacked PRs and better review UX, Cubic for assisted code review, Blacksmith to run our CI/CD
In the Product:
Anything a user can do, an agent should be able to do – through tool calls, APIs and CLI
Like software, the work of accounting is changing from the acts of writing and doing to the acts of reading and reviewing – we’re building to enable that future
Accuracy, auditability and security remain non-negotiable
Speed, efficiency and simplicity are how we stand out
Backend: Elixir / Phoenix
Frontend: Next.js, TypeScript
Infrastructure: AWS, Terraform
We don’t expect experience in everything.
If you’ve worked with functional languages, frameworks like Rails/Django, or modern frontend stacks, you’ll ramp quickly. What matters most is your ability to learn, adapt, and build.
Strong software engineering fundamentals
Experience building with AI agents, LLM-powered systems, or workflow automation
Product mindset – you care about users and outcomes, not just implementation
Ability to operate in fast-paced environment where we embrace uncertainty
High ownership and willingness to wear multiple hats
Intuition for when to follow best practices and when to rethink them
Competitive salary + equity
Health insurance
Pension plan
Latest tech (MacBook, monitors, etc.)
Learning budget (books, courses, conferences)
Unlimited vacation
Intro call
Technical assessment
Technical interview
Career history interview
Founder interview
San Francisco, CA (Hybrid – 3 days onsite)
LiveFlow is building the next-generation accounting and finance platform — enabling lean finance teams to run massive enterprises.
We’ve raised over $21M from top-tier investors including YC, YC Continuity, Valar, Seedcamp, WndrCo, Moonfire, and Bradley Horowitz (VP Product, Google).
Today, thousands of companies rely on LiveFlow to streamline their financial workflows, with hundreds of 5/5 ratings on G2.
Our founding team previously worked at Revolut, one of Europe’s fastest-growing fintechs.
This is not a typical graduate role.
At LiveFlow, you’ll contribute to real product features from day one and see your work shipped to customers quickly.
We’re looking for engineers who are curious, ambitious and want to accelerate their growth in a fast-moving environment. You should be excited by early ownership and building things that matter.
You’ll work closely with experienced engineers as well as product and design, and quickly build both technical depth and product intuition.
We’re hiring Graduate Engineers to help build AI agents that power the next generation of LiveFlow.
This is a full-stack role at its core, with exposure to designing and developing agent-driven systems embedded throughout the product.
You don’t need prior industry experience - but you do need strong fundamentals, high curiosity, and the ability to learn quickly.
Learning how finance teams operate and identifying opportunities to improve their workflows
Building product features across the stack alongside experienced engineers
Contributing to AI agent workflows that simplify and automate complex tasks
Developing APIs and systems that power our core platform
Improving internal tooling and engineering workflows
Writing clean, maintainable code and learning best practices in production systems
Supporting high standards of data security, reliability, and performance
You’ll have access to the latest AI coding tools (e.g. Cursor, Claude)
We encourage experimentation with agentic workflows and developer tooling
You’ll learn how to operate in an AI-assisted engineering environment
We value engineers who think about how to build faster and more effectively
We’re building deeply integrated AI systems - not surface-level features
Agents can take actions across the platform via tools, APIs, and workflows
Accuracy, auditability, and security are non-negotiable
Speed, efficiency, and simplicity are core to our product philosophy
Backend: Elixir / Phoenix
Frontend: Next.js, TypeScript
Infrastructure: AWS, Terraform
We don’t expect experience in everything. If you’ve worked with any modern languages or frameworks, you’ll ramp quickly.
Strong software engineering fundamentals
Recent graduate or early-career engineer (0–2 years experience)
Evidence of building things (projects, internships, open-source, etc.)
Curiosity about AI, LLMs, or modern developer tools
Product mindset - you care about users and outcomes
Ability to operate in a fast-paced environment with ambiguity
High ownership and willingness to learn quickly
Experience with any backend or frontend frameworks
Exposure to AI tools, LLMs, or workflow automation
Side projects or experimentation with new technologies
Competitive salary + equity
Health insurance
Pension plan
Latest tech (MacBook, monitors, etc.)
Learning budget (books, courses, conferences)
Unlimited vacation
Loom Video Submission
Screen Call
Technical interview
Culture Fit Interview
Founder interview
About the Team
The team’s mission is to accelerate the secure evolution of agentic AI systems at OpenAI. To achieve this, the team designs, implements, and continuously refines security policies, frameworks, and controls that defend OpenAI’s most critical assets—including the user and customer data embedded within them—against the unique risks introduced by agentic AI.
About the Role
As a Security Engineer on the Agent Security Team, you will be at the forefront of securing OpenAI’s cutting-edge agentic AI systems. Your role will involve designing and implementing robust security frameworks, policies, and controls to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems. You will develop comprehensive threat models, partner tightly with our Agent Infrastructure group to fortify the platforms that power OpenAI’s most advanced agentic systems, and lead efforts to enhance safety monitoring pipelines at scale.
We are looking for a versatile engineer who thrives in ambiguity and can make meaningful contributions from day one. You should be prepared to ship solutions quickly while maintaining a high standard of quality and security.
We’re looking for people who can drive innovative solutions that will set the industry standard for agent security. You will need to bring your expertise in securing complex systems and designing robust isolation strategies for emerging AI technologies, all while being mindful of usability. You will communicate effectively across various teams and functions, ensuring your solutions are scalable and robust while working collaboratively in an innovative environment. In this fast-paced setting, you will have the opportunity to solve complex security challenges, influence OpenAI’s security strategy, and play a pivotal role in advancing the safe and responsible deployment of agentic AI systems.
You’ll be responsible for:
Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack.
Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale.
Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability.
Influencing strategy & standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI.
We’re looking for someone with:
Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services.
Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods.
Hands-on network security experience – implementing identity-based controls, policy enforcement, and secure large-scale telemetry pipelines.
Clear, concise communication that bridges engineering, research, and leadership audiences; comfort influencing roadmaps and driving consensus.
Bias for action & ownership – you thrive in ambiguity, move quickly without sacrificing rigor, and elevate the security bar company-wide from day one.
Cloud security depth on at least one major provider (Azure, AWS, GCP), including identity federation, workload IAM, and infrastructure-as-code best practices.
Familiarity with AI/ML security challenges – experience addressing risks associated with advanced AI systems (nice-to-have but valuable).
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
","location":"San Francisco","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":234400,"salaryMax":385000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Ashby","value":"https://jobs.ashbyhq.com/openai/e9bea775-7eb6-438a-ab96-27d5f941e69d"}],"postedAt":"2026-05-22T18:01:18.484Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS","GCP","Go","Python","Rust"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#848484","vibrant":"#7f7f7f","darkMuted":"#444444","lightMuted":"#bcbcbc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":2,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":187,"slug":"openai-security-engineer-agent-security-zUn-sx","isFresh":true,"featured":false},{"title":"AI Automation Engineer","companyName":"Ping Identity","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://pingidentity.com&size=128","companyWebsite":"https://www.pingidentity.com","description":"At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100.
\nPing Identity is seeking a technically strong, hands-on AI Automation Engineer to join the Data & AI team within the Office of the CIO. This is a builder role — you won't just configure platforms, you'll write code, design custom agent architectures, and deliver production-grade AI automation that drives measurable business impact across the enterprise.
\nAs our second AI Automation Engineer, you'll work alongside our existing AI Automation Engineer and report to the Director of AI & Data. Where the first hire focuses on business process design and low-code/no-code delivery, you will own the programmatic side of our agent stack — building custom agents in Databricks, developing integrations and connectors, and tackling automation challenges that require real engineering depth.
\nLocation: Denver, USA (Hybrid)
Salary: $130,766 - $150,000 (Colorado base range)
🚀 About WRITER
WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.
Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
📐 About the role
As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data.
This role can be hybrid in our San Francisco, New York City, or Seattle hubs. You'll report to the head of AI engineering.
🦸🏻♀️ What you'll do
Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform.
Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers.
Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs.
Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space.
Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical.
⭐️ What you need
5+ years of professional experience building and deploying machine learning or AI systems in a production environment.
Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle.
Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems.
Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions.
You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence.
🍩 Benefits & perks (US Full-time employees)
Generous PTO, plus company holidays
Medical, dental, and vision coverage for you and your family
Paid parental leave for all parents (16 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Flexible spending account and dependent FSA options
Health savings account for eligible plans with company contribution
Annual work-life stipends for:
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation, company stock options and 401k
WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.
","location":"San Francisco, CA","city":"San Francisco","locationType":"remote","employmentType":"full-time","seniority":"mid","salaryMin":142000,"salaryMax":315800,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Ashby","value":"https://jobs.ashbyhq.com/writer/8889d06e-efa9-4096-b806-f1626fe060ae"}],"postedAt":"2026-05-22T18:01:18.484Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":["PyTorch","TensorFlow"],"techStackTags":["AWS","Azure","GCP","Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#4c4c4c","vibrant":"#7f7f7f","darkMuted":"#040404","lightMuted":"#4c4c4c","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":19,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":4,"impressionCount":260,"slug":"writer-ai-engineer-9y96kN","isFresh":true,"featured":false},{"title":"Senior Software Engineer, Fullstack (Mission Agents)","companyName":"Vannevar Labs","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://vannevarlabs.com&size=128","companyWebsite":"https://www.vannevarlabs.com","description":"Vannevar Labs seeks an experienced product engineer to design and build agent-powered mission consoles for defense and national security customers.
\nNote: 'agentic AI is purpose-built to compete with China' — defense/national security context.
","location":"Remote (US)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/vannevarlabs/jobs/5106817007"}],"postedAt":"2026-05-22T18:01:18.484Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS","Node.js","PostgreSQL","Python","TypeScript"],"agenticFrameworks":["Agno","LangGraph","Pydantic AI"],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#8c8c8c","vibrant":"#7f7f7f","darkMuted":"#3c3c3c","lightMuted":"#4c4c4c","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":14,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":6,"impressionCount":413,"slug":"vannevar-labs-senior-software-engineer-fullstack-mission-agents-y5Ov5X","isFresh":true,"featured":false},{"title":"Staff Software Engineer, AI Platform","companyName":"Flex","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://getflex.com&size=128","companyWebsite":"https://getflex.com","description":"Flex is a growth-stage, NYC-headquartered FinTech company hiring a Staff Software Engineer for the AI Platform team.
\nTech stack: Python, Java, Golang, TypeScript/Node.js, AWS, Modal, E2B, Cloudflare Sandboxes, Daytona, Firecracker/gVisor runtimes
\nLocation: Hybrid for NYC/SF/Salt Lake City; remote elsewhere in USA
Salary: Tier A (NYC/SF/Seattle): $200,000-$250,000
AI Systems Engineer - Codex Core Agents
About The Team
The Codex Core Agents team builds the agent harness that turns model capability into real-world action. We own the systems around the model: prompting and interpreting model outputs, executing actions safely in real environments, and feeding production experience back into better models and better agent behavior.
This team sits close to research and works across the stack: harness, model interaction, inference, sandboxed execution, orchestration, evals, production reliability, and the performance envelope around tokens, latency, cost, capacity, and quality. The harness is open source and increasingly part of how models are trained and evaluated, making this one of the highest-leverage layers in Codex.
About The Role
We’re looking for engineers to build the AI systems that make Codex agents dependable in production. The ideal candidate is an agent-systems builder: hands-on across low-level systems and ML workflows, able to debug Codex behavior end to end across the harness, model behavior, inference/runtime stack, GPU fleet, and product surface.
You’ll work with research, infrastructure, and product to design agent harness capabilities, run experiments and ablations across the model + system prompt + harness stack, build frameworks for assessing production agent performance, and turn messy failures into durable improvements.
What You’ll Do
Design and build the core agent harness and execution loop that lets Codex agents interpret model outputs, use tools, execute code, and complete long-horizon tasks safely.
Build sandboxing, isolation, orchestration, state, and workflow infrastructure for agents operating in real development environments.
Develop evaluation, experimentation, and debugging systems that distinguish harness issues, model behavior, inference/runtime issues, and product failures.
Run ablations across prompts, model-facing interfaces, context construction, tool-use strategies, and harness behavior to improve solve rate, reliability, latency, and cost.
Improve observability, profiling, and diagnostics across the agent stack, from backend systems to inference, GPUs, and fleet capacity.
Work closely with research to make the harness trainable, measurable, and useful for improving frontier agentic models.
Build shared primitives that make Codex faster, safer, more reliable, and easier for other teams and open-source users to build on.
You Might Be A Good Fit If You
Have built or operated production systems in distributed systems, infrastructure, developer tooling, sandboxing, virtualization, cloud platforms, or ML systems.
Enjoy working across layers: Rust systems code, Python configuration layers, APIs, agent orchestration, evals, logs/traces, inference behavior, runtime constraints, and user outcomes.
Have hands-on experience with LLM applications, coding agents, evals, model deployment, inference, compiler/runtime performance, or developer platforms.
Care deeply about reliability, safety, performance, debuggability, and clean abstractions.
Can debug from evidence and move quickly from ambiguous production failures to practical, durable fixes.
Want to work close to research while still shipping changes to production
Still write meaningful code, show strong ownership, and can lead scoped or multi-team AI systems work.
Bonus Points
Deep Rust, systems, sandboxing, isolation, or low-level platform experience.
Experience with coding agents, agent harnesses, tool-using LLM systems, model evals, or post-training feedback loops.
Background in compilers, kernels, runtimes, inference optimization, GPU systems, benchmarking, profiling, or performance engineering.
Experience building production infrastructure used by many engineers or users under demanding reliability and security constraints.
Open-source infrastructure or developer-platform work with strong taste for APIs and usability.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
","location":"San Francisco","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":230000,"salaryMax":385000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Ashby","value":"https://jobs.ashbyhq.com/openai/de06790a-7243-4e33-a6f1-e7bd34009588"}],"postedAt":"2026-05-22T18:01:18.484Z","expiresAt":"2026-06-21T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS","Go","Python","Rust"],"agenticFrameworks":["Agno"],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#848484","vibrant":"#7f7f7f","darkMuted":"#444444","lightMuted":"#bcbcbc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":7,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":3,"impressionCount":192,"slug":"openai-ai-systems-engineer-codex-agents-KDSpDw","isFresh":true,"featured":false},{"title":"Software Engineer, Agent Orchestration","companyName":"Decagon","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://decagon.ai&size=128","companyWebsite":"https://decagon.ai","description":"About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.
About the Team
The Agent Orchestration team builds the runtime and model orchestration layer that powers Decagon’s agents in production. This is the orchestration layer that turns workflows, tools and guardrails into a reliable, low-latency, and delightful experience for end users.
At the core of this work is the agent harness: the routing, execution logic, tool orchestration, and control-plane systems that determine how an agent behaves in a live conversation. The team owns the full execution lifecycle of each conversation—from selecting workflows and orchestrating multiple models (e.g., router/planner/supervisor patterns), to coordinating tool calls, enforcing safety constraints, and communicating back to the user.
The team operates across both real-time systems (e.g., voice interactions with strict latency requirements) and longer-horizon execution (supporting more complex reasoning and workflows). Our research shows that an agent’s task execution reliability increasingly depends on the orchestration layer that wraps around it.
This is highly experimental, frontier-style engineering. The team continuously analyzes real-world failures, builds feedback loops through offline evaluation and online experimentation, and iterates quickly to improve quality, reliability, and capability. As model capabilities evolve, the team regularly rethinks system design to push agent performance forward in production.
About the Role
As a Software Engineer on the Agent Orchestration team, you will design and build the systems that govern how Decagon agents operate in real-world environments.
You will own complex, distributed systems that sit at the heart of the agent runtime: execution frameworks, model orchestration logic, and experimentation platforms that ensure agents are fast, reliable, and continuously improving. Your work will directly impact how agents reason, take actions, and deliver outcomes across millions of interactions.
This role operates in a fast-moving, ambiguous space with tight feedback loops. You’ll move fluidly between diagnosing production issues, designing new system abstractions, and running experiments to improve agent behavior. You’ll collaborate closely with Research, Infra, and Product teams to ship improvements safely and at scale.
In this role, you will
Design and evolve agent harnesses that power different product experiences
Build core runtime systems, including AOP execution and multi-model orchestration
Develop control-plane logic for routing, planning, and tool invocation with strong safety guarantees
Optimize agent systems for latency, reliability, and production correctness
Analyze real-world failures and use data to drive iterative improvements
Build and operate online experimentation (A/B testing) and contribute to offline evaluation frameworks
Improve observability, testing, and simulation systems to ensure safe, measurable progress
Contribute to voice and real-time systems (e.g., transcription pipelines, turn-taking, latency improvements)
Continuously adapt orchestration systems as model capabilities evolve
Your background looks something like this
Strong experience building distributed systems or backend platforms in production environments
Comfort working in ambiguous, fast-moving environments with rapid iteration cycles
Experience owning systems end-to-end, from design through production and iteration
Familiarity with experimentation, evaluation, or data-driven product improvement loops
A track record of improving system reliability, performance, and observability
Ability to debug complex systems and identify root causes of failures
Even better
You’ve built or worked on agent harnesses, orchestration layers, or execution frameworks
You think in terms of control planes, feedback loops, and system-level optimization, not just features
You’re excited about diagnosing failure modes and iterating toward measurable improvements
You care deeply about production quality—not just making systems work, but making them reliable, safe, and scalable
You’re motivated by pushing the frontier of how intelligent systems behave in the real world
Compensation
$200K – $400K + Offers Equity
This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.
In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.
Benefits
We proudly offer the following benefits for our full-time employees:
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
Medical, Dental, and Vision benefits for you and your family
Life Insurance and Disability Benefits
Retirement Plan (e.g., 401K, pension)
Parental Leave
Fertility and family building benefits through Carrot
Daily lunches and snacks in the office to keep you at your best
These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
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\nDirector, Software Engineering – Agentic Foundations (P4474)
PREFERRED LOCATION: Cincinnati / Chicago
Salary Range: $157,000 - $251,850 USD
The AI Enablement team at 84.51° is seeking a Director of Software Engineering for its Agentic Foundations team. This team is responsible for designing, developing, and maintaining the agentic backbone of the Kroger enterprise, including platforms, patterns, and tools to support the best practice development of AI agents.
\nThe Director of Engineering requires a unique mix of software engineering and AI skills necessary to lead the technical design of platforms, patterns, and tools to support the enterprise agentic ecosystem. This role has a focus on providing the technical leadership needed for engineering and data science development teams implementing solutions like agent/MCP/scorer/prompt registries, agent-related tools to aid in the development and monitoring of best practice agents and tools, and managing low-code and no-code agent platforms that integrate with agentic support.
\nWho We Are
\nAddepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.
We are seeking a Senior AI Engineer to join our AI Platform team. The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly.
\nAs a Senior AI Engineer, you will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems.
\nAddepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions.
\nThe range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $179,000 - $224,000 (base salary) + bonus + equity + benefits.
\nYour recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.
\nApplicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.
\nOur Values
\nIn addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
\nPHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.
Kepler is hiring a Senior Software Engineer in New York City (on-site, 22 Vanderbilt Ave). Kepler is the agent harness - the infrastructure layer that wraps around AI models to make their outputs reliable, traceable, and verifiable. The LLM orchestrates (deciding what data to gather, what to compute, how to structure output) while every actual data point flows through deterministic code pipelines with full provenance.
\nThe team has 40+ combined years at Palantir, with the CTO having built Palantir's first AI platform. Backed by founders of OpenAI, Meta AI Research, MotherDuck, dbt Labs, and Square.
\nBenefits: 100% covered medical/dental/vision, HSA maxed by company, life/AD&D/disability, daily lunch, unlimited PTO, top-of-the-line MacBook Pro setup, 'build anything' budget, learning budget.
\nCompensation: $200,000–$250,000 + equity.
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\nThe company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman.
\nP.S: We highly recommend reading The \"API-First World\" graphic novel to understand the bigger picture and our vision at Postman.
As a Member of Technical Staff and AI Agent Development Lead, you will lead the design, development, and deployment of next-generation AI agents that interact with users and complex environments. You will drive the architecture and implementation of scalable, reliable AI systems, working closely with research, product and engineering teams to build safe, interpretable, and performant AI technology.
\nLead a cross-functional engineering team focused on AI agent development, from conceptual design to production deployment.
\nDesign and implement AI agent architectures leveraging state-of-the-art language models and associated technologies.
\nCollaborate with research scientists on scalable experiments and productize research innovations.
\nDrive the development of agent capabilities including dialogue management, decision making, and autonomy.
\nEnsure AI safety and alignment principles are integrated throughout the agent lifecycle.
\nMentor and grow technical staff, fostering an environment of collaboration and innovation.
\nEvaluate new tools, frameworks, and methodologies to enhance AI agent capabilities.
\nPartner with product and policy teams to align AI agent features with user needs and ethical standards.
\nProven experience leading technical teams in AI or machine learning engineering, preferably building AI agents or assistants.
\nStrong software engineering skills with proficiency in Python and familiarity with modern ML frameworks (e.g., JAX, PyTorch, TensorFlow).
\nDeep understanding of language models, reinforcement learning, and AI safety/alignment concepts.
\nExperience with scalable system design and cloud infrastructure.
\nPassion for AI safety, interpretability, and user-centered AI development.
\nExcellent communication skills and ability to collaborate across multidisciplinary teams.
\nPreferred:
\nPrior experience working with large language models or conversational AI.
\nBackground in research and development of AI alignment or safety techniques.
\nExperience with developer tools and APIs for AI integration.
\nThe reasonably estimated base salary for this role ranges from $256,000 to $276,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Along with that, our wellness programs will help you stay in the best of your physical and mental health. Our frequent and fascinating team-building events will keep you connected, while our donation-matching program can support the causes you care about. We’re building a long-term company with an inclusive culture where everyone can be the best version of themselves.
\nAt Postman we value in person collaboration. We are in office 5 days a week for all roles based out of our hubs in San Francisco Bay Area, Boston, Austin, Tokyo and London. For roles based in Bangalore, employees currently work in the office three days a week and will transition to five days per week by the end of the year. We were thoughtful in our approach which is based on collaboration and grounded in feedback from our workforce, leadership team, and peers. The benefits of our in office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via zoom.
\nAt Postman, we create with the same curiosity that we see in our users. We value transparency and honest communication about not only successes, but also failures. In our work, we focus on specific goals that add up to a larger vision. Our inclusive work culture ensures that everyone is valued equally as important pieces of our final product. We are dedicated to delivering the best products we can.
\nPostman is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Postman does not accept unsolicited headhunter and agency resumes. Postman will not pay fees to any third-party agency or company that does not have a signed agreement with Postman.
Senior Software Engineer, Agent
Department: Engineering | Location: Palo Alto HQ | Type: Full-time, On-site/Remote
About the Role
We're looking for a Senior Agent Engineer to push the boundaries of what AI agents can do at Pika. You'll work on the systems that give AI agents their personality, memory, reasoning, multi-modal capabilities, and ability to act autonomously across platforms. This is the core of what makes Pika's AI products feel alive.
You'll design agent architectures, build tool-use frameworks, optimize LLM interactions, and create the systems that allow agents to learn, remember, and evolve over time. If you're excited about building AI systems that feel genuinely intelligent — not just wrappers over chat APIs — this role is for you.
What You'll Do
• Design and evolve the agent runtime — the core loop that handles reasoning, tool use, memory retrieval, and response generation
• Build agent capabilities — image generation, voice synthesis, video creation, web browsing, code execution, and other skills
• Optimize LLM integration — prompt engineering, context window management, multi-provider model routing (Claude, GPT, Gemini, open-source), cost optimization, and latency reduction
• Implement memory systems — long-term memory, working memory, episodic recall, and semantic search so agents learn from every interaction
• Design autonomous behaviors — proactive actions, scheduled tasks, and goal-directed behavior that makes agents feel self-directed
• Build evaluation and quality systems — benchmarks, A/B testing, and metrics for agent behavior, personality consistency, and response quality
• Experiment with new architectures — multi-agent collaboration, planning, chain-of-thought reasoning, and other emerging patterns
• Collaborate with product and design to translate AI capabilities into intuitive user experiences
What We're Looking For
• 5+ years of software engineering experience, with 2+ years working with LLMs or AI agent systems
• Deep understanding of LLM capabilities and limitations — you know how to get the best out of frontier models
• Experience building agent systems — tool use, function calling, multi-step reasoning, retrieval-augmented generation (RAG)
• Strong prompt engineering skills — system prompts, few-shot learning, chain-of-thought, structured output
• Proficiency in TypeScript and/or Python
• Understanding of embedding models and vector search for memory and retrieval
• Comfortable with rapid experimentation — you ship experiments, measure results, and iterate
• Product intuition — you understand what makes an AI agent feel \"alive\" vs. robotic
• Clear communication skills and a team-first mindset
Nice to Have
• Experience with multi-modal AI (image generation, TTS, speech-to-text, video generation)
• Experience with agent frameworks (LangChain, AutoGPT, CrewAI, or custom runtimes)
• Background in NLP, computational linguistics, or cognitive science
• Experience with fine-tuning, RLHF, or DPO
• Familiarity with AI safety and alignment considerations
• Experience with real-time/streaming LLM responses
• Previous startup experience — comfortable with ambiguity and moving fast
We are looking for an experienced AI Engineer to join our growing AI team at Beroe X nnamu. You'll play a key role in developing intelligent, agentic AI systems using cutting-edge large language models (LLMs), multi-agent orchestration, and retrieval-augmented generation (RAG). This is a hands-on role combining software engineering, ML/NLP expertise, and a passion for building next-gen autonomous agents.
\nYou'll collaborate closely with AI leads, backend engineers, data engineers, and product managers to bring scalable and intelligent systems to life, integrated into real-world procurement and business applications.
\nWhy us?
4-Day Work Week & Up to 24 Days Off. Hybrid options in Berlin or Munich. 8 weeks/year work abroad option.
Pioneering the Future of Mobile Banking with AI
\nAs a Senior AI Engineer, you will be the driving force in powering our AI-first transformation. You will partner with cross-functional teams to identify high-impact opportunities, then design, build, and deploy the intelligent systems that solve critical bottlenecks and unlock the next level of operational efficiency.
\nYour mission is to architect and implement the AI agents and models that will redefine our internal operations, customer experience, and our pursuit of becoming the only banking app the world needs.
\nWhat will you do?
\nWho are you?
\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together.
\nToday, LangChain, LangGraph, LangSmith, and Fleet are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
\nYou'll work on some of the hardest problems in applied AI, not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
\nWe're looking for a Senior AI Engineer to help us build the next generation of AI-native products at Awin. The features you'll work on are used directly by advertisers, publishers and partner managers across our global ecosystem to grow and run their affiliate programs. Things like conversational AI experiences, intelligent automation and decision-support tools built on top of Large Language Models and agent-based architectures.
\nThis is a senior product engineering role where you will own real problems end-to-end, make architecture decisions the team builds on and balance technical depth with the realities of shipping software to customers. We expect you to have an opinion on the system design, the evaluation strategy and the way we operate AI in production.
\nYou will be joining the AI Solutions team in our Growth Domain. This team is responsible for building AI-native products. Our work is highly visible and every feature you ship can have a real impact on how our customers manage and grow their affiliate programs. Our engineering culture is built on pragmatic problem solving, strong ownership, fast iteration and a high production bar set through rigorous evaluation, observability and safe-by-default design. We're cloud-first on AWS, working with a Python-based stack that combines agent orchestration, retrieval and standard backend foundations, refreshed as the field moves.
\nReaktor's award-winning tech community is looking for AI Developers to join us in Amsterdam.
\nIf you thrive on applying cutting-edge AI technologies, building LLM-powered applications, and driving projects through the full software development lifecycle — and you're passionate about solving real human problems with a holistic approach — we'd love to meet you.
\nAs an AI Developer at Reaktor, your job is to be an expert in a range of AI-related software development responsibilities spanning the entire software development lifecycle, from front-end to production.
\nTL;DR - We're looking for strong engineers (backend, frontend, or full-stack) who are excited about building agents. You'll help shape how we build, evaluate, orchestrate, and scale LLM-powered agents in production - and define what it means to create truly lovable AI products.
\nWhy Lovable?
Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we're just getting started.
We're a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.
\nCore requirement: Strong engineering fundamentals. You might be backend, frontend, or full-stack - what matters most is your ability to build high-quality production systems.
\nIn one sentence: Build, tune, and scale agents that power lovable products.
\nAt 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. 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. These values are the foundation of our work, and we are committed to upholding them in everything we do.
\nOur 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. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs.
\nAbout Faire
\nFaire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
\nWe're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
\nThe Corporate Security team at Faire owns the tools and policies that keep our people, data, and systems protected. The team's scope includes endpoint detection, data loss prevention, email security, corporate threat detection, compliance training, and AI governance. As our Staff Engineer focusing on Enterprise AI, you will be Security and IT's technical leader for AI systems, partnering with engineering teams in driving AI initiatives to ensure governance, security, and enablement scale alongside adoption. You'll work across every level of the organization, balancing the drive to \"Make it happen fast\" with the discipline to move safely.
\nSan Francisco: the pay range for this role is $204,000 - $280,500 per year.
\nThis role will also be eligible for equity and benefits.
\nHybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.
","location":"San Francisco, CA","city":"San Francisco","locationType":"hybrid","employmentType":"full-time","seniority":"staff","salaryMin":204000,"salaryMax":280500,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://boards.greenhouse.io/faire/jobs/8536687002?gh_jid=8536687002"}],"postedAt":"2026-05-21T20:23:31.111Z","expiresAt":"2026-06-20T00:00:00.000Z","aiInfrastructure":["Anthropic","MCP","OpenAI API"],"techStackTags":["Java","Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c7c7c","vibrant":"#7f7f7f","darkMuted":"#444444","lightMuted":"#c4c4c4","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":6,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":200,"slug":"faire-staff-engineer-enterprise-ai-xTEo_x","isFresh":true,"featured":false},{"title":"Senior Forward Deployed AI Engineer (Remote Eligible in Germany)","companyName":"Smartsheet","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://smartsheet.com&size=128","companyWebsite":"https://smartsheet.com","description":"For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
\nYou independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role.
\nWhat You Will Do
\nRequired
\nAt Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
\nSmartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
\nIf there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
\n#LI-Remote
","location":"Remote, Germany","city":"Munich","locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/smartsheet/jobs/7874013"}],"postedAt":"2026-05-21T20:23:31.110Z","expiresAt":"2026-06-20T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["AWS","JavaScript","Python","TypeScript"],"agenticFrameworks":["LangChain"],"geoRegion":"eu","countries":["DE"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#577491","vibrant":"#345c7c","darkMuted":"#065192","lightMuted":"#acbccb","darkVibrant":"#04335c","lightVibrant":"#a1bfd7"},"viewCount":1,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":0,"impressionCount":116,"slug":"smartsheet-senior-forward-deployed-ai-engineer-remote-eligible-in-germany-YCU4kJ","isFresh":true,"featured":false},{"title":"AI Agent Engineer, Client Facing","companyName":"Observe.AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://observe.ai&size=128","companyWebsite":"https://observe.ai","description":"About Us
\nObserve.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.
\nEach AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.
\nBuilt on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.
\nWhy Join Us
\nWe’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization.
\nYou’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance.
\nWhat you’ll be doing
\nWhat you’ll Bring
\nWhy You’ll Love It Here
\nSalary Range
\nThe base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices.
\nOur Commitment to Inclusion and Belonging
\nObserve.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
\nWe welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.
\nIf you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.
\n#LI-Hybrid
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\nJob Title: Software Engineer II - Marketing Agent
\nLocation: Boston, MA (Hybrid 3x week)
\nAt Klaviyo, we believe the future of software lies not in productivity tools for human users but in systems that do the hard work for them. We’ve built the infrastructure and applications that power the interface between businesses and consumers — supporting over 183,000+ customers, billions of consumer profiles, and hundreds of billions of customer interactions. Now, we’re building the next generation of AI agents that can automatically create, execute, and optimize marketing and customer experience strategies for any business.
\nAs a Software Engineer II on Klaviyo's Marketing Agent team, you'll be at the forefront of one of the most impactful bets we're making — building an AI-powered system that autonomously creates and executes high-stakes marketing strategies on behalf of thousands of customers. This isn't backend plumbing: the work you ship directly drives revenue for the businesses that rely on Klaviyo every day. Partnering closely with product managers and technical product owners, you'll shape the scope of what's possible, turn ambitious ideas into production reality, and craft tools so intuitive they feel like superpowers to the marketers using them.
\nThis role is primarily backend, with a strong focus on crafting robust and maintainable AI powered systems that deliver high quality strategies and marketing content that’s ready to use to our customers. There are ample opportunities for growth given the scope of this role and the team’s central role in Klaviyo’s product.
\nWe use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
\nPlease see the independent bias audit report covering our use of Covey here
\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
\nOur salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
\nIn addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
\nYour recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
\nBase Pay Range For US Locations:$116,000—$174,000 USDThis role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
\nGet to Know Klaviyo
\nWe’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
\nAI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
\nBy participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
\nKlaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
\nIMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.
\nBy clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).
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