About Us
\nNeuron7.ai is a rapidly growing AI‑first SaaS company focused on building a category‑defining Service Resolution Intelligence platform. Backed by leading venture capital firms in Silicon Valley and a distinguished group of angel advisors and investors, Neuron7 is widely recognized as a startup to watch.
\nOur platform enables enterprises to resolve complex operational issues faster by delivering accurate root‑cause analysis and fix recommendations in seconds—leveraging a combination of structured data, unstructured data, and advanced AI agents. Learn more at Neuron7.ai.
\nWhy Join Us
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Work at the frontier of applied AI - LangGraph, LLM, streaming anomaly detection, evidence-based RCA reasoning on real enterprise problems, not toy datasets.
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Both modes of LogIQ (reactive and proactive) are expanding fast; you'll help define how the platform scales to new industries and log ecosystems.
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Your work ships quickly and visibly: demos you build turn into signed contracts; parsers you write run in production within days; tools you create become platform features.
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Engineering depth with customer exposure — you commit to the main repo and influence product direction, while building relationships with some of the world's most complex operations teams.
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Bangalore team with global reach — you'll work closely with the US product and engineering leadership, giving you visibility and mentorship far beyond a typical India engineering role.
We are hiring AI Solutions Engineers based in Bangalore who will own the full customer journey from first onboarding call to a live, production LogIQ deployment reactive and proactive. You will work directly with enterprise customers, understand their operational domain, prepare their data, configure the platform, and build compelling demos that show exactly how LogIQ reduces mean-time-to-resolution (MTTR) on their hardest problems.
\nThis is not a support or ticket-handling role. You will write Python, build and register new agent tools, create custom log parsers, configure streaming pipelines, tune LLM prompts, debug async agent failures, and contribute directly to the core platform codebase. You are part engineer, part domain expert, and fully accountable for customer outcomes.
\nWhat You’ll Do
\nWe are looking for an AI Solutions Engineer with 2–5 years of relevant experience to own the technical customer journey from onboarding and configuration to live production deployments and advanced AI customization.
\nIn this role, you will blend strong software engineering skills, hands‑on AI/LLM experience, and customer‑facing problem solving. You will help enterprises operationalize LogIQ by preparing their data, configuring AI agents, building compelling demos, tuning models, and ensuring successful outcomes at scale.
\n1.Customer Onboarding & Platform Configuration
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Provision multi-tenant environments: tenant creation, log file type registration, product family configuration, severity thresholds, and API key management.
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Guide customers through LogIQ's Signature Onboarding Wizard.
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Configure per-tenant defaults and document every configuration decision in customer-specific runbooks for long-term maintainability.
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Validate the full detection lifecycle end-to-end on customer log samples before any go-live, including quality benchmarks on hold-out data.
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Set up real-time log stream ingestion pipelines — Kafka, Kinesis, Fluentd, syslog-ng, or customer-native agents — into LogIQ's streaming layer.
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Configure the Anomaly Detection engine: define healthy baselines, tune sensitivity thresholds, and map deviation patterns to specific signature triggers.
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Wire streaming triggers to the RCA Agent so that when an anomaly fires, root-cause investigation begins automatically with no human intervention.
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Monitor stream health: lag, throughput, parsing error rates, and alert on pipeline degradation before it affects customer outcomes.
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Work with customers to identify which log sources to prioritize for streaming vs. batch ingestion, balancing latency requirements against infrastructure cost.
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Ingest and index customer knowledge articles, historical case resolutions, and equipment documentation into the RCA Agent's retrieval layer (OpenSearch + pgvector).
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Configure evidence-weighting rules so the RCA Agent knows which sources to trust most for a given equipment type or failure mode.
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Tune reasoning prompts and retrieval strategies based on observed RCA quality — iterating until root-cause accuracy meets the customer's acceptance criteria.
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Build fix-strategy libraries: map known root causes to recommended remediation steps, pulling from customer SOPs and historical tickets.
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Validate RCA output against historical cases where the true root cause is known; track precision and recall over iteration cycles.
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Ingest, clean, and pre-label customer-provided log samples to build compelling, domain-specific demos that speak directly to the customer's operational pain.
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Demonstrate both reactive (case upload → signature detection → RCA → fix recommendation) and proactive (live stream → anomaly trigger → automated RCA) workflows against real data.
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Create demo scripts, scenario walkthroughs, before/after MTTR comparisons, and leave-behind documentation for prospects.
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Adapt demos quickly to new industries or log types — a customer in manufacturing should see their alarm formats, their fault patterns, their fix vocabulary.
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Design, build, and register new LangGraph agent tools as customer use cases demand — e.g., a tool that queries a customer's CMDB, pulls ticket history from ServiceNow, or fetches firmware changelogs from an internal API.
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Package reusable capabilities as LogIQ Skills: self-contained, versioned bundles of tools, prompts, and configuration that can be applied across customers in the same domain.
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Maintain a tool allowlist and review process so new tools integrate safely with the agent's execution context and tenant isolation guarantees.
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Contribute high-quality tools back to the platform's shared tool library so the whole team benefits.
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Write custom log parsers for proprietary or undocumented equipment formats (Python, plugged into the FastAPI parser registry).
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Build data connectors for customer-specific ingestion sources: REST APIs, SFTP drops, database exports, or cloud storage buckets.
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Define record-splitting rules, type classifiers, and deep-parsed field schemas for new log file types using the Signature Onboarding pipeline.
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Maintain a parser test suite — real sample lines, expected field outputs — so parsers don't regress across platform updates.
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Tune LLM system prompts, memory strategies, context windows, and few-shot examples based on observed agent behavior on customer data.
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Modify the signature workflow DAG to handle customer-specific detection logic that the automated agent generation doesn't cover out of the box.
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Ship targeted bug fixes and feature additions back to the core platform codebase — you are a contributor, not just a consumer.
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Debug async pipeline failures.
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Own the technical relationship for your customer portfolio: onboarding calls, weekly syncs, async Slack/email, and escalation handling.
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Translate customer domain knowledge — telecom alarm semantics, SCADA event codes, IT operations terminology — into LogIQ configuration and agent guidance.
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Train customer teams to operate LogIQ independently: run their own demos, onboard new signatures, and interpret RCA outputs.
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Surface recurring pain points and propose product improvements; your customer exposure gives you signal the core product team cannot get from anywhere else.
Python Engineering - 2+ years of production Python. Comfortable with asyncio, FastAPI, Pydantic v2, and SQLAlchemy 2.0. Ability to read and extend an unfamiliar codebase quickly.
\nLLM & Agent Frameworks - Hands-on experience building or operating LLM-powered agent pipelines — LangChain, LangGraph, CrewAI, AutoGen, or equivalent. Understands state graphs, tool calls, memory, and multi-step reasoning loops.
\nAgent Tool Development - Can design, implement, and register new agent tools using the @tool decorator pattern (LangGraph/LangChain). Understands tool allowlists, input/output schemas, and safe integration with existing agent contexts.
\nPrompt Engineering - Can systematically diagnose LLM failure modes and improve prompts through controlled iteration. Understands token budgeting, few-shot construction, output format control, and context window management.
\nStreaming & Event Systems - Working knowledge of at least one streaming or log-shipping technology — Kafka, Kinesis, Fluentd, Logstash, syslog-ng, or similar. Understands consumer lag, backpressure, and at-least-once delivery semantics.
\nAsync & Distributed Systems - Understands async task queues (Celery, SQS, Redis), message broker patterns, and how to debug distributed pipeline failures from logs and traces.
\nDatabases & Search - Solid PostgreSQL fundamentals: schema design, JSONB queries, indexing. Exposure to time-series stores (TimescaleDB) and full-text search (OpenSearch / Elasticsearch) is a plus.
\nCloud & Infrastructure - Comfortable with AWS (S3, SQS, IAM, Kinesis) or Azure equivalents. Docker and container-based local deployments. Familiarity with docker-compose for multi-service dev environments.
\nCustomer Communication - Strong written and spoken English. Can explain a multi-stage agent failure to a non-technical operations director. Experience in customer-facing technical roles — solutions engineering, implementation, pre-sales, or technical consulting — is a strong plus.
\nEducation Qualification: B.E. / B.Tech or M.Tech in Computer Science, Electronics, or a related engineering discipline. Equivalent industry experience is fully acceptable.
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Direct experience with LangGraph (our production agent runtime) and the Azure OpenAI SDK.
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Familiarity with multi-tenant SaaS architecture and row-level security (RLS) patterns in PostgreSQL.
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Experience building RAG (retrieval-augmented generation) pipelines — chunking, embedding, retrieval strategies, reranking.
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Knowledge of vector databases or pgvector for semantic search over log and knowledge article corpora.
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TypeScript or Angular familiarity — helpful for front-end troubleshooting and demo customization.
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Domain exposure to telecom (Ciena, Nokia, Ericsson alarms), industrial control systems (SCADA, DCS, PLC events), or large-scale IT infrastructure operations.
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Experience integrating with ITSM tools: ServiceNow, Jira Service Management, PagerDuty, or Salesforce Service Cloud.
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Observability and monitoring experience: Datadog, Grafana, Prometheus — especially for distributed tracing of agent pipelines.
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Open-source contributions, published technical writing, or conference presentations on AI/ML or distributed systems topics.
Education
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent industry experience.
What 'Great' Looks Like in This Role
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Full-stack ownership: They own the problem from raw customer log file to production RCA recommendation, without waiting to be handed the next step.
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Diagnostic depth: When an agent misbehaves, they go three levels deep — past the surface symptom into prompt context, retrieval quality, parser correctness, or queue configuration.
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Streaming intuition: They think about live log data as a first-class signal, not an afterthought, and proactively suggest proactive monitoring setups to customers who haven't asked for them yet.
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Tool-builder mindset: When a customer need can't be met with existing tools, they scope, build, and register a new one — and document it well enough that the next customer can benefit.
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Domain curiosity: They ask why a telecom alarm sequence is ordered the way it is, and use that understanding to write better annotations, parsers, and RCA evidence weights.
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Iterative instinct: They treat prompt tuning, retrieval calibration, and anomaly threshold setting as controlled experiments with measurable outcomes.
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Clear communication: They can translate a LangGraph agent failure into a one-paragraph summary that a customer's VP of Operations can act on.
At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in all aspects of our work.
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Competitive salary, equity, and spot bonuses.
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Paid sick leave.
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Comprehensive health insurance.
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Paid parental leave.
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Flexible work arrangements.
Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital status, or any other characteristic protected by law.
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\nAbout Baringa
Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding.
Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands-on delivery leadership, and who has a passion for bringing AI solutions to production at scale.
\nWhat you will be doing
As a Senior Manager in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering.
Your Skills and Experience
\nEverything is changing in how software gets built, and Sourcegraph is at the center of that transformation. With Code Search, Deep Search, and MCP, Sourcegraph is the world’s most powerful code intelligence platform that developers and agents rely on to navigate, understand, and operate on massive, complex codebases with speed and confidence.
\nTeams at companies like Stripe, Uber, and Dropbox rely on Sourcegraph to ship faster and with higher quality. We’re backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and a deep love for developers and their craft.
\nIf you want to contribute to infrastructure that empowers millions of developers to do their best work - join us.
🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with CEST for at least 20 hours/week.
\nPreferred locations:
\nThe Code Plane team owns the Sourcegraph products that help developers - and the agents working on their behalf - take action on code, at scale, across the world's largest codebases. Think “data plane” and “control plane” for enterprise code: the surfaces where intent becomes code changes across hundreds (or more!) of repositories.
\nThis is a team that builds products that use AI and products for AI. The roadmap, the architecture, and the day-to-day technical decisions all hinge on a solid experience with and a clear-eyed view of what AI models and agents are good at, where they fail, and how to design products around them. A strong handle on and opinion of AI, formed from real-world, hands-on use, not just observation, is a hard requirement for this role. If you're excited to ship for the AI agent ecosystem rather than simply watch from the sidelines, you'll find a lot to love here.
\nWe're hiring you to be the technical leader around whom this team rallies. Our product surfaces are evolving drastically as agents reshape how software is built, and we are adjusting our engineering teams to match. It is an exciting time, and a rare chance to be a strong leader shaping dev tools for the agentic age of coding. Code Plane owns high-stakes, fast-moving products at the center of that shift and needs a tech lead who will set technical and product direction, drive the roadmap from issue to shipped, and keep the team unblocked and moving. You'll work directly with customers, design partners, and cross-functional partners to translate real customer needs into a concrete plan the team can build on, own, and follow.
\nThe team's surface areas include:
\nThe features your team ships are used directly by developers and by agents working on their behalf, and you'll partner closely with Product, Design, Customer Engineering, and adjacent engineering teams to turn customer pain into shipped product.
\n📅 Within one month, you will…
\n📅 Within three months, you will…
\n📅 Within six months, you will…
\nYou are a technical leader and software engineer whom people want to follow. You set technical direction, make the hard architecture and tradeoff calls, and keep the team unblocked and moving. You think in terms of customers and outcomes, not tickets. You're at home translating fuzzy product input into a clear roadmap, scoping with Product and Design, and making calls about what to cut so the team can ship. You’re tackling our hardest technical problems hands-on, and also guiding your team to grow.
\nYou have a point of view on coding agents - what they're good at, where they fail, and how products can make them dramatically more useful - and you're excited to ship for that ecosystem.
\nYou actively contribute to a collaborative, respectful, async-first culture. You communicate thoughtfully and proactively, you keep stakeholders informed without being asked, and you're not afraid to push back — or to change your mind when someone has a better idea.
\nNice to haves:
\n📊 This job is an IC5. You can read more about our job leveling philosophy in our Handbook.
\n💸 We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. As an open and transparent company that values competitive compensation, our compensation ranges are visible to every single Sourcegraph teammate.
\nYour salary is determined by your pay band for the IC5 job level. For determining pay bands, we use a number of market and data-driven salary sources, along with your location zone, and target the high-end of the range to ensure we’re always paying above market regardless of where you live in the world. Both U.S. and international locations are divided into one of four zones, determined by the cost of labor index for each area. The salary for a successful candidate will be based on level, job-related skills, experience, qualifications, and location zone. Please note that the salaries below may be adjusted in the future.
\n💰 The target compensation for this role is based on the IC5 pay band for your zone. The start of the IC5 pay band for each zone is listed below:
\nPlease speak with a recruiter for additional information regarding zone locations.
\n📈 In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits.
\nBelow is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
\nWe expect the interview process to take 4.75 hours in total.
\n👋 Introduction Stage - we have initial conversations to get to know you better…
\n🧑💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
\n🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically…
\nPlease note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
You can learn more about what it is like to work at Sourcegraph by reading our handbook.
\nWe are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture, competitive compensation and benefits here.
\nSourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
\nSourcegraph participates in E-Verify for U.S. Employees.
We are entering the biggest platform shift since mobile – a $1.5T market opportunity where every enterprise is racing to adopt AI. But there is a massive problem: the legacy players (the Accentures and Wipros of the world) are failing to adapt. They are still selling armies of consultants and glacial timelines in a world that demands speed.
\nEnter Turgon.
\nWe are the world’s first Agentic IT Modernization platform. We don’t just \"do AI\" by adding chatbots to broken systems. We solve enterprise problems at the root: the data and systems level. By combining elite forward-deployed engineers with our proprietary AI Agent Swarms, we map, document, and modernize massive legacy infrastructures in days, not quarters.
\nWe are turning CIOs back into strategic builders and ensuring IT infrastructure can finally transform at the speed of AI. We are looking for builders who are ready to reject the legacy consulting model and help us architect the future of the enterprise.
\nAbout the Role
\nWe are looking for a Forward Deployed Engineer to sit at the intersection of our product, engineering, and customer-facing teams. This is a role for someone who is as comfortable in a customer conversation as they are in a codebase.
\nAt Turgon, our AI agents handle the heavy lifting – but great enterprise software still requires a human who deeply understands the customer's world, can bridge the gap when automation hits its limits, and can translate messy real-world requirements into clean technical solutions. That's you. You will be the person customers trust, the person our delivery leads rely on, and the person our product team turns to when they need ground-truth signals from the field.
\nThis role is ideal for someone who thrives in ambiguity, moves fast, and genuinely enjoys working across the full spectrum from whiteboard to deployment.
\nFounded in 2021, Pulsora, the \"Enterprise Sustainability Platform\", is a well-funded Silicon Valley software startup. It is dedicated to empowering purpose-driven enterprises to manage and improve their environmental, social, and governance (ESG) and overall sustainability footprint with an integrated, comprehensive, flexible, and innovative technology platform built for compliance, tracking, and insight.
\nAbout the Role
We are looking for an AI-first Forward Deployed Engineer (FDE) to join Pulsora's growing customer solutions organization. This is a highly technical, customer-facing role focused on deploying AI-enabled solutions directly into complex enterprise environments. As a Forward Deployed Engineer, you will operate at the intersection of engineering, implementation, product, and customer success. You will work closely with enterprise customers to understand their business problems, rapidly prototype solutions, deploy workflows, integrate systems, and drive measurable business outcomes using Pulsora's platform and modern AI-native development practices.
Day-to-Day Responsibilities
\nRequired Skills & Qualifications
\nWhy work at Pulsora?
\nPulsora Core Values: Compassionate candor, Transparency, Embrace diversity and cultivate belonging, Make a positive impact, Delight customers.
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","location":"San Francisco, CA","city":"San Francisco","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":227500,"salaryMax":401000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://careers.adyen.com/vacancies/7687317-member-of-technical-staff"},{"type":"email","value":"eric.amemiya@adyen.com"}],"postedAt":"2026-07-27T21:16:04.839Z","expiresAt":"2026-08-26T00:00:00.000Z","aiInfrastructure":["Hugging Face"],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#02964c","vibrant":"#04d46c","darkMuted":"#02964c","lightMuted":"#1b7d4c","darkVibrant":"#028242","lightVibrant":"#84e4b4"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":7,"impressionCount":0,"slug":"adyen-member-of-technical-staff-EElDuw","isFresh":true,"featured":false},{"title":"Senior AI Engineer","companyName":"Yuno","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://y.uno&size=128","companyWebsite":"https://y.uno","description":"Hyderabad, On-site, Full Time with 5+ years experince
\nWho We Are
\nYuno is a leader in payment orchestration, building the infrastructure that powers frictionless, global transactions for modern businesses. Our mission is to simplify and revolutionize how payments move; enabling merchants, consumers, and partners to operate with flexibility, intelligence, and trust. We’re entering a new chapter: infusing artificial intelligence across Yuno’s products and internal operations. We aim to design intelligent systems that create exponential efficiency, enhance user experiences, and unlock new sources of revenue.
\nShape your future with Yuno!
\nWe are seeking a Senior AI Engineer to architect, build, and scale AI-powered systems that redefine how Yuno operates and innovates. This role goes beyond building models; it’s about designing agentic systems, AI-assisted workflows, and data-driven decision engines that help the company scale faster than headcount. You will be at the forefront of developing the next generation of autonomous systems that power both customer-facing products and internal operations, from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation.
\nHow Yuno will challenge you
\nAI Product Architecture & Development
\nOperational Intelligence & Scalability
\nData & Model Optimization
\nCross-Functional Collaboration & Innovation
\nThe skills you need
\nWhat We’re Looking For
\nMinimum Qualifications
\nPreferred Qualifications
\nWho We Are
\nWe're building OpenHands, the open source platform for cloud coding agents, helping engineering teams accelerate development, automate workflows, and bring AI-assisted coding into production environments.
\nAs an Enterprise Agent Engineer, you'll build the system that makes agentic automation trustworthy at scale, including the automation server, the control plane around it (auditing, visibility, observability, governance), and high-quality agents and automations that run on it. You'll prove all of it on real engineering workflows, starting with our own, then harden what works into the product enterprises rely on. You'll join our Enterprise App team, partnering closely with other engineers and Product to develop automations and other agentic workflows.
\nWhat You'll Do
\nWhat You Bring
\nWhy Join OpenHands
\nWe Welcome All Applicants
\nWe're committed to building an inclusive, supportive environment where everyone can thrive. We celebrate diversity and do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other protected characteristic. If you're passionate about helping developers succeed and excited about the future of AI-powered tooling, we'd love to hear from you.
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\nLocation: Egypt, Pakistan (Remote)
\nWork Week: Sunday – Thursday
\nWorking Hours: 9:00 AM – 6:00 PM (Saudi Arabia Standard Time)
\nSoum is building an AI native layer across our C2C marketplace, from customer conversations to automated order handling, personalised discovery, recommendations, fraud signals, and seller tooling. We're looking for a Senior GenAI Engineer to design and ship production-grade AI systems that touch millions of users across the buying and selling journey.
\nYou'll work end-to-end: architecting LLM-powered services on our Python backend, integrating them into product surfaces on our React frontend, and partnering with teams across the company to find where AI genuinely moves the needle. This is a senior builder's role with high autonomy, broad scope, and real impact on the business.
\n-
Architect production GenAI systems across multiple domains, including conversational agents, automated order and dispute workflows, personalized discovery and recommendations, content generation, search relevance, and emerging use cases.
-
Own features end-to-end, from problem framing and model selection through backend services (FastAPI, Python), frontend integration (React, TypeScript), evaluation, deployment, and monitoring.
-
Design agentic workflows with tool calling, multi-step reasoning, retrieval augmented generation, and integrations with internal APIs, third-party SaaS, and event-driven systems.
-
Build the retrieval and embeddings stack, including chunking strategies, embedding model selection, vector indexes, hybrid search, reranking, and retrieval evaluation pipelines.
-
Make it reliable and cost-efficient through streaming, prompt caching, latency budgets, token cost optimization, observability for LLM calls, and graceful fallback when models or upstreams misbehave.
-
Establish evaluation rigor with offline and online evals covering response quality, tool call correctness, hallucination rate, retrieval precision, and business KPIs.
-
Drive experimentation and research by evaluating new models, frameworks, and agent patterns, running focused experiments, and bringing what works into production.
-
Mentor and raise the bar for engineers across the team on AI and ML best practices, prompt engineering, and production readiness.
-
Partner cross-functionally with Product, Engineering, Data, Ops, and CX to identify high-leverage AI opportunities and ship them.
-
Conversational AI for customer support, dispute resolution, and seller assistance
-
Automated order handling, escalation routing, and workflow orchestration
-
Personalized discovery, recommendations, and search relevance
-
Listing quality, including auto-generated titles, descriptions, categorization, and image understanding
-
Trust and safety, including fraud signals, anomaly detection, and content moderation
-
Internal agent tooling for ops and CX teams
Required
\nNice to Have
\n-
Ship over the architect. Lean code, no premature abstractions, no half-finished frameworks.
-
Measurement-driven development. Features ship with evals and metrics, not vibes.
-
Ownership. From idea to deployment to monitoring the first real users.
-
Curiosity and range. This role spans many problem domains, and we want someone energized by that.
We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies.
\nYou’ll be solving complex challenges and maintaining our own infrastructure with 60PB+ monthly data traffic. Here are its scale and maturity in numbers:
\nWe’re building the AI layer on top of one of the world’s largest B2B data platforms. Our product lets users ask questions in plain language and get data-driven answers from millions of company and professional records. Think of it as giving our dataset a brain.
\nWe’re forming a dedicated squad to take this from promising product to industry-leading platform. If you’re a Python developer who’s been itching to go deep on LLMs, RAG, and agentic AI — not just toy projects, but production systems at scale — this is your chance. You’ll work alongside experienced Staff Engineers, ship to real customers, and help define how AI reshapes B2B data intelligence. We have a seat ready for you!
\nUp for the challenge? Let’s talk!
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She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. What you get to do in this role: Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability. Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery. Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs. Contribute to the design and implementation of new products and features while enhancing existing product capabilities. Integrate automated testing into development workflows to ensure consistent quality across releases. Participate in design and code reviews ensuring best practices in performance, maintainability, and testability. Develop comprehensive test strategies covering functional, regression, integration, and performance aspects. Mentor other engineers on the team in how to build, maintain, and evolve great AI powered software solutions. Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality. Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team. To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 12 years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years experience; or equivalent experience. Hands-on depth designing, shipping, and operating agentic systems in production — multi-agent orchestration, tool calling, planning loops, memory, and failure recovery. Not prototypes. Production-grade Python. Systems language (Go, Java, or C++) is a plus. Working experience with frontier AI SDKs (Anthropic, Google, or OpenAI) — prompt engineering, structured outputs, and model evaluation in production settings. Familiarity with RAG and retrieval patterns in production — vector stores, hybrid search, and retrieval evaluation metrics. Track record of technical leadership: architecture ownership, code quality bar-raising, and mentoring engineers on production AI practices. Comfort operating in fast-moving, ambiguous, startup-like AI product environments with high degree of ownership. Experience with multi-agent coordination patterns (A2A, MCP). Familiarity with agent frameworks (LangChain, LlamaIndex, or similar). Prior experience shipping AI systems in enterprise software. Experience with AI observability tooling (tracing, cost tracking, LLM-specific monitoring). Strong appetite for continuous incremental wins and completing challenging deliverables fast. Why Join Us Build and deliver high-impact software that powers digital experiences for millions of users. Collaborate in a culture that values craftsmanship, quality, and innovation. Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability. Be part of a culture that encourages innovation, continuous learning, and shared success. For positions in this location, we offer a base pay of $190,900 - $334,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
","location":"Santa Clara, CA, United States","city":"Santa Clara","locationType":"hybrid","employmentType":"full-time","seniority":"staff","salaryMin":190900,"salaryMax":334100,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.smartrecruiters.com/ServiceNow/744000138161377-senior-staff-software-engineer-agent-development"}],"postedAt":"2026-07-27T21:16:04.838Z","expiresAt":"2026-08-26T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["A2A","LLM","RAG","multi-agent orchestration","tool calling"],"agenticFrameworks":["LangChain","LlamaIndex","Vercel AI SDK"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#4c9c64","vibrant":"#64dc4c","darkMuted":"#2c6461","lightMuted":"#2e7b1d","darkVibrant":"#042d45","lightVibrant":"#64d44c"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":12,"impressionCount":0,"slug":"servicenow-senior-staff-software-engineer-agent-development-_r9CFi","isFresh":true,"featured":false},{"title":"Staff Software Engineer (Product + Platform Development)","companyName":"Trase Systems","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://trasesystems.com&size=128","companyWebsite":"https://www.trasesystems.com","description":"About Us
Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems.
About Trase
Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security.
About the Role
We are hiring a Staff Software Engineer who will split their time between building our core product and delivering it directly to customers. This role sits at the intersection of software engineering, product development, customer delivery, and operational execution.
You will embed with customer teams to understand their workflows and highest-value use cases, then build production-ready systems that solve real problems. Just as importantly, you will feed what you learn in the field back into the core product, shaping platform capabilities, reusable patterns, and roadmap so that each deployment makes the next one faster. You will move quickly from discovery to prototype to deployment while maintaining the engineering discipline required for secure and regulated environments.
This is a hands-on, senior engineering role. As a Staff engineer, you will set technical direction, make key architecture decisions, and raise the bar for how we build, while still writing code, debugging systems, and working through messy customer environments yourself. You should be comfortable translating vague requirements into concrete technical plans and communicating clearly with both engineers and non-technical stakeholders.
What You’ll Do
Work directly with customers to understand their workflows, pain points, data environments, and operational constraints.
Contribute to both the core platform and customer-specific integrations: build reusable capabilities into the product, then adapt and deploy them in each customer's environment.
Build and deploy AI-enabled applications, agents, and workflow automation, applying AI/ML and LLM techniques such as RAG, guardrails, and evals to deliver reliable customer solutions.
Translate customer needs into technical requirements, implementation plans, and product feedback for the core engineering team.
Own delivery from prototype through production, including architecture, backend services, APIs, integrations, observability, testing, deployment, and customer acceptance.
Integrate with customer systems, data sources, identity providers, and cloud or on-prem infrastructure.
Partner with product, engineering, security, and customer teams to ensure solutions are secure, reliable, auditable, and operationally useful.
Debug issues in deployed environments and drive fast resolution across application, infrastructure, data, and integration layers.
Operate with strong judgment in environments involving sensitive data and business-critical workflows.
Requirements
\n8+ years of software engineering experience, with a strong foundation in building and shipping production-quality systems.
Ability to apply AI and ML techniques, including LLM-based approaches such as RAG, guardrails, and evals, to real customer problems.
Scalable system design experience, ensuring solutions scale reliably as usage, data, and complexity grow.
Experience with backend engineering, distributed systems, APIs, data pipelines, cloud infrastructure, or applied AI/ML systems.
Comfort working across the full stack when needed, including backend services, frontend interfaces, infrastructure, integrations, and deployment workflows.
Ability to operate in ambiguous customer environments and turn unclear requirements into working software.
Strong technical communication skills with engineers, product teams, executives, and customer stakeholders.
High ownership, bias for action, and ability to drive outcomes without waiting for perfect requirements.
Strong debugging instincts and ability to reason across application code, data, infrastructure, networking, and customer systems.
Preferred Qualifications
\nPrior experience as a full-stack or backend software engineer, forward deployed engineer, solutions engineer, product engineer, platform engineer,, or founding/startup engineer.
Experience with AI agents, LLM applications, workflow orchestration, evals, guardrails, retrieval systems, or model deployment.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experience with Kubernetes, Terraform, Docker, CI/CD, observability, and secure deployment practices.
Familiarity with identity and access management, audit logging, data governance, and secure software delivery.
Experience building in environments with compliance, security, or operational constraints.
Comfort working in secure or regulated customer environments.
If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk!
Salary Range: $180,000-240,000. This represents the typical salary range for this position based on experience, skills, and other factors.
Some travel to customers may be required.
For full-time roles only
\nCareer track opportunity with potential for rapid advancement with strong performance as the firm grows
100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
Paid maternity and paternity for 14 weeks at employees' normal pay.
Unlimited PTO, with management approval.
Opportunities for professional development and continued learning.
Optional 401K, FSA, and equity incentives available.
Mental health benefits are available through Tara Mind.
For full-time roles
\nCareer track opportunity with potential for rapid advancement with strong performance as the firm grows
100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
Paid maternity and paternity for 14 weeks at employees' normal pay.
Unlimited PTO, with management approval.
Opportunities for professional development and continued learning.
Optional 401K, FSA, and equity incentives available.
Mental health benefits are available through Tara Mind.
Cost effective GLP-1 solutions available through Crux.
We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
\nApplicant Data Disclosure
By submitting an application, you acknowledge that Red Cell Partners, LLC (\"Red Cell\") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, \"Hiring Platforms\"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:
Managing and administering your application throughout the hiring process;
\nVerifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;
Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories.
Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com.
Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies.
For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.
At Misfits & Machines, the innovation sister company of Marketing Architects, we're not just exploring what AI can create - we're building transformative technologies that help marketers machine remarkable growth in the age of AI. Our team is obsessed with reimagining the marketing value chain through automation, machine learning, and scalable innovation. If you believe the future belongs to bold ideas executed with precision and humanity, we'd love to meet you.
\nROLE OVERVIEW
\nAs an AI Architect, you'll report to the Head AI Architect and work hands-on with our creative, product, and engineering teams to design and build the AI systems behind our generative video platform. This is a hands-on architecture role at the frontier of applied AI: you'll sit with stakeholders, translate their ideas into agentic systems in real time, and build and ship them yourself. You'll also own how we measure and improve those systems, keeping a close read on how everything performs in production.
\nBENEFITS OVERVIEW
\nWe offer rewarding careers that encourage growth while providing industry-leading benefits including: Fully remote within the US; 100% employer-paid medical, dental and disability, with vision option; Traditional and Roth 401(k) with a 4% company match; Flexible paid time off, 9 paid holidays plus 2 floating holidays; Paid parental leave; Annual office supply allowance, monthly internet stipend and employer-paid cell phone.
\nADDITIONAL INFORMATION
\nOur remote-friendly work model supports flexibility across the US, however we are currently unable to support employment in California. We are unable to consider applicants who live outside of the US. At this time, we're not considering candidates that need any type of immigration sponsorship now or in the future.
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\nAs part of the AI agents team, you'll work at the intersection of classic product engineering and AI - building the underlying systems that let our AI agents reason, act, and improve. Your work has a direct, measurable line to customer revenue.
\nThis opportunity requires you to be located in the United States.
\nWe'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Hatch, we're looking for great people, not just those who simply check off all the boxes.
\nBuild the AI that replaces search with conversation. AskOle is building something fundamentally different from today’s ticket exchanges, online travel agencies, and search engines. Today, users do all the work. They search, filter, compare, open dozens of tabs, read reviews, check maps, compare hotels, look for restaurants, and try to figure out the best option. We’re eliminating that entire experience. A fan should simply say: “I need two tickets for Manchester United vs Arsenal on Saturday.” AskOle responds naturally: “I found four excellent ticket options based on value and location. Since you’re traveling from London, would you like me to recommend hotels within walking distance of Old Trafford? I also found several restaurants that match your preferences and the best pub for pre-match atmosphere. I can book everything together in one transaction.” That conversation replaces hundreds of clicks. We’re looking for the Principal Architect who will build the intelligence behind that experience. What You’ll Build You’ll architect the AI orchestration layer that powers every AskOle conversation. This is not another chatbot. You’ll build a conversational commerce platform capable of understanding intent, gathering information from dozens of independent systems, reasoning over the results, ranking recommendations, asking intelligent follow-up questions, and delivering answers that feel like speaking to an expert concierge. The platform will combine live inventory from ticket providers, hotels, airlines, restaurants, transportation, hospitality providers, maps, weather, events, reviews, and future partners into a single conversational experience. The user never searches. The AI does. No pathetic AI inflated resumes or using someone else's resume OleOle is building a global football super app combining social networking, messaging, live scores, short-form video, gambling, commerce, payments, translation, and mini programs into a single ecosystem focused entirely on football. The vision is to create the first true “WeChat for football” — a platform where fans, clubs, brands, leagues, sportsbooks, creators, and merchants can communicate, transact, and engage directly inside one global environment. Unlike traditional social media platforms, OleOle is built specifically for sports fans and designed around communication, real-time engagement, commerce, and community. The platform combines elements of: Twitter/X style social conversation TikTok-style short-form video WhatsApp-style messaging live score platforms programmable commerce mini program ecosystems similar to WeChat All integrated into a single football-first platform. Core Platform Vision OleOle is designed around several key ideas: Communication First Fans can communicate directly with: clubs brands sportsbooks creators media companies other fans through follows, messaging, sharing, comments, and real-time translated conversations. Mini Program Ecosystem OleOle is building a mini program platform that allows brands and partners to launch experiences directly inside the platform without requiring fans to download separate applications. Initial mini program categories include: Games News Merchandise Ticket Sales VIP Hospitality Gambling Fans can: follow or unfollow mini programs communicate directly with brands share mini programs with friends receive translated content automatically Brands can communicate directly with followers within platform communication limits designed to prevent spam and preserve user experience. Real-Time Translation A core component of the platform is AI-driven real-time translation across conversations, content, video, messaging, and mini programs. The goal is to remove language barriers between global football fans and allow mini programs to operate across dozens of languages automatically. This creates a global communication layer connecting fans, clubs, brands, and creators worldwide. Wallet + Payments Infrastructure OleOle includes an integrated Wallet ID and payment infrastructure powering: commerce rewards gambling digital collectibles mini program transactions creator payouts The platform is designed around programmable commerce and frictionless fan engagement. Technology Stack OleOle is being built as a native Rust platform focused on: scalability performance real-time communication low-latency systems global infrastructure payments social engagement video delivery The company is also building: AI translation systems football history AI infrastructure developer platforms mini program tooling programmable payment rails The Long-Term Vision OleOle’s long-term vision is to become the global operating system for football fans: social networking communication commerce gaming gambling content ticketing rewards programmable fan experiences all inside one interconnected ecosystem. OleOle – Where Fans Kick Off The Principal AI Search & Conversation Architect will be responsible for designing and leading the architecture of a next-generation conversational AI platform that replaces traditional search with intelligent dialogue. This role owns the systems that understand user intent, determine what information is needed to satisfy a request, retrieve data from multiple real-time providers, reason across competing options, and generate conversational responses that lead users from discovery to transaction. The successful candidate will architect the AI orchestration layer that coordinates multiple large language models, specialized agents, retrieval systems, recommendation engines, and external APIs into a single seamless conversational experience. Rather than returning lists of search results, the platform will assemble and rank information from ticketing providers, hotels, airlines, restaurants, transportation services, mapping platforms, weather services, and other third-party data sources, presenting recommendations through natural conversation. This role requires deep experience designing AI-native systems capable of planning multi-step tasks, maintaining conversational context, coordinating tool execution, ranking competing results, and continuously adapting recommendations based on user feedback throughout a conversation. The Principal Architect will define the technical vision, establish architectural standards, evaluate emerging AI technologies, mentor senior engineers, and make long-term decisions regarding LLM strategy, retrieval architecture, agent design, memory management, semantic search, vector databases, knowledge graphs, and AI evaluation frameworks. The position requires extensive experience building large-scale distributed systems, production AI platforms, retrieval-augmented generation (RAG), multi-agent orchestration, function calling, Model Context Protocol (MCP), recommendation systems, API orchestration, prompt architecture, conversation state management, personalization, and low-latency cloud infrastructure. Experience with OpenAI, Anthropic, Gemini, open-source language models, LangGraph, LlamaIndex, DSPy, vector databases, graph databases, and modern AI infrastructure is highly desirable. The Principal AI Search & Conversation Architect will work closely with the company’s other Principal Architects responsible for backend infrastructure, payments, blockchain, messaging, mini-programs, and platform services to ensure the conversational platform integrates seamlessly across the entire ecosystem while maintaining exceptional scalability, reliability, performance, and user experience. Qualifications Proven experience architecting and delivering production-scale AI platforms used by large numbers of users. Demonstrated leadership as a Principal Engineer, Chief Architect, Distinguished Engineer, or equivalent senior technical role. Deep expertise in Large Language Models (LLMs), AI agents, multi-agent systems, Retrieval-Augmented Generation (RAG), semantic search, and modern AI orchestration frameworks. Strong understanding of recommendation engines, ranking algorithms, personalization, and conversational AI. Extensive experience designing distributed, cloud-native systems capable of operating at global scale with high availability and low latency. Hands-on experience integrating complex third-party APIs and building systems that combine multiple real-time data sources into a unified experience. Exceptional architectural judgment with the ability to simplify complex technical problems into scalable, maintainable solutions. Proven ability to lead senior engineering teams, mentor architects and principal engineers, establish engineering standards, and make long-term technical decisions. Strong communication skills with the ability to collaborate across engineering, product, and executive leadership. Entrepreneurial mindset with a passion for building category-defining products and solving problems that have not been solved before. A track record of shipping ambitious, innovative products rather than simply maintaining existing platforms. Solutions not problems . Creative problem solver who can courageously propose and support new ideas to our organization. Not interested in best practices, lets build something better! Ability to adapt. An ideal candidate will welcome the opportunity to solve a broad range of problems using a wide array of technologies. Comfortable with ambiguity, shifting priorities and general growing pains of an early-stage technology company An exceptional entrepreneurial judgment that fosters independence over micro-management Understanding of football and international sports a huge plus Ole Ole is located in beautiful Austin Texas, however, this role requires some travel we are privately held and rapidly growing!
","location":"Austin, TX, United States","city":"Austin","locationType":"onsite","employmentType":"full-time","seniority":"principal","salaryMin":null,"salaryMax":null,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.smartrecruiters.com/Travoom/744000139144890-principal-ai-search-conversation-architect-askole-"}],"postedAt":"2026-07-27T21:16:04.838Z","expiresAt":"2026-08-26T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["LLM","RAG","conversational AI","function calling","multi-agent orchestration"],"agenticFrameworks":["DSPy","LangGraph","LlamaIndex"],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#ac9c5c","vibrant":"#bca454","darkMuted":"#6d5e2b","lightMuted":"#7b671d","darkVibrant":"#5f5125","lightVibrant":"#dcc46c"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":3,"impressionCount":0,"slug":"travoom-principal-ai-search-and-conversation-architect-askole-dp6h1I","isFresh":true,"featured":false},{"title":"Lead AI Engineer","companyName":"360Learning","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://360learning.com&size=128","companyWebsite":"https://360learning.com","description":"Introduction to the Team & Role
\nAI is central to 360Learning's strategy: our AI Squad ships agentic features that help users discover, create, and administrate content.
\n-
Catalog Companion: An AI agent performing bulk catalog operations (sharing, archiving, tagging, author assignments)
-
Smart Search: conversational search helping users discover the right content
-
Conversational BI: Analytics and insights delivered through natural conversation
-
AI Course & Question Generation: Creating questions and full courses from documents and titles
-
Content Recommendations: Personalized content discovery
We're now looking for a Lead AI Engineer to drive the technical vision for AI in 360Learning’s product and to coach our AI Engineers as the team grows. This is a hands-on leadership role: you'll set technical direction, own the hardest architectural decisions, and grow the people around you, while staying close to the code.
\nYou'll coach our team of AI Engineers (2 today, growing), and partner closely with 1 Product Manager, 1 Product Designer, and our Full-Stack Developers. You'll report directly to the Head of AI/Data.
\n-
Graduate in Convexity through our onboarding process and complete our coach training
-
Understand our product offering, processes, and tools
-
Get to know the AI Squad and your fellow AI Engineers
-
Build a global view of our codebase and architecture (Pydantic AI, FastAPI, Azure OpenAI, ElasticSearch)
-
Contribute meaningfully to an existing feature, hands-on
-
Become the point of contact for the squad's technical topics
-
Start coaching the AI Engineers: identifying their key strengths and areas for growth, and unblocking challenges proactively
-
Become a trusted engineering partner to the squad's PM and PD
-
Own end-to-end delivery of a new AI feature, from technical design through production launch
-
Optimize for real-world constraints: reduce per-request cost, improve latency, and scale to handle usage spikes
-
Lead Performance Reviews and Career Path assessments for your AI Engineers
-
Set the technical direction for AI features alongside the PM's product vision
-
Share best practices and drive process improvements across the squad
-
Make architectural decisions as we scale from 5 to 10+ features
-
Prototype and ship advanced capabilities: new modalities, real-time collaboration
-
Be the technical expert the AI Engineers rely on, and define the next career steps for each of them with a concrete action plan
-
Push technical innovation within the squad and across R&D (e.g. hackathons, transversal initiatives), keeping roughly 80% hands-on and ~20% on coaching and management
The Skill Set
\n-
4+ years building GenAI / LLM-powered systems, with a track record of taking them from prototype to long-term production deployment
-
Experience, formal or informal, as a tech lead, mentor, or coach for a team of engineers, ideally on a SaaS platform
-
Strong Python experience, with a track record of clean, maintainable production code
-
Hands-on experience integrating LLMs (Azure OpenAI, OpenAI, Anthropic, Mistral, etc.) and managing real-world constraints: token cost, latency, reliability, hallucinations
-
Familiarity with: search / RAG / semantic search / vector databases; agents; LLM observability tools (Langfuse or similar); model evaluation
-
Solid grasp of Machine Learning fundamentals (evaluation, experimentation, model lifecycle)
-
Experience leading technical initiatives where performance, reliability, and accuracy are paramount
-
A product-oriented mindset and genuine care for customers and their experience
-
Excellent leadership, communication, and collaboration skills
-
Fluent English (US/UK) / B2 level or equivalent (FR)
-
Enthusiasm for our working environment (Convexity): https://bit.ly/Convexity360L
-
Compensation: Package includes base salary, a variable component and equity 📈
-
Benefits/Perks: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.
-
Balance: Flexible hours, full remote work possible anywhere in France 🏠
-
Diversity, Equity, and Inclusion: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
-
Corporate Social Responsibility: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
-
Culture: A framework that will make you successful - envision what's it like to join 360Learning from onboarding to ramp-up, and beyond: 🚀👩🏻💻🏆https://360learning.com/blog/360learner-journey/
-
Phone Screen with our Talent Acquisition Manager
-
Discovery Meeting with the Head of AI/Data
-
Case Study deep-dive with an AI Engineer and the Head of AI/Data
-
Clarification Meeting with an AI Engineer and PM
-
Culture Fit Meeting with our VP of Engineering
-
Ref Checks
-
Offer!
Get ready using our Knowledge Base: https://bit.ly/42H1ggC
\nWho We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
\nLearning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Founded in 2021, Pulsora https://pulsesg.com/ the “Enterprise Sustainability Platform”, is a well-funded Silicon Valley software startup. It is dedicated to empowering purpose-driven enterprises to manage and improve their environmental, social, and governance (ESG) and overall sustainability footprint with an integrated, comprehensive, flexible, and innovative technology platform built for compliance, tracking, and insight. We are well funded, have amazing customers across industries and geographies, established strategic partnerships with leading ERP and consulting firms, and are growing fast!
\nABOUT THE JOB
\nWe are seeking a highly skilled and experienced AI/ML Developer to join our team. The ideal candidate will be a specialist in the rapidly evolving field of Large Language Models (LLMs) and generative AI, with a strong background in developing, integrating, and optimizing complex agentic and RAG-based systems.
\nWHAT YOU WILL DO
\nABOUT YOU
\nA LITTLE MORE ABOUT HOW YOU LIKE TO WORK
\nWHY THIS ROLE?
\nWhy work at Pulsora?
\nWe believe that progress happens by bringing together people from all walks of life who have the drive and the influence to improve our world now and for the next generations!
\nPulsora Core Values
\nJoin us and become a driver for positive change!
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Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future.
\nClaude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet.
\nYou'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next.
\nOur north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s AI for Science Program and our rare disease research grants.
\nThe annual compensation range for this role is listed below.
\nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
GreenPowerMonitor, a DNV company, is looking for an ML Engineer to create, productize and evolve generative AI solutions on Horizon, GreenPowerMonitor's cloud platform that transforms renewable energy operational data into actionable insights. You will build LLM-powered agents for production systems serving renewable energy professionals globally, working alongside product managers and software engineers, and take AI solutions from concept to production, building AI that directly supports the operation and optimization of renewable energy assets at global scale.
\nWhat we offer: professional development following a 70/20/10 learning model, medical scheme, life insurance, pension plan, commuting and kindergarten allowances, 40-hour week with flexible schedule, home-working allowance (up to 2 days weekly), 23 days annual leave, employee referral scheme, and a global profit share scheme.
\nLocations: Barcelona (Spain), Madrid (Spain), Milano (Italy), Gdynia (Poland), Oslo (Norway), Bristol (UK), London (UK). Hybrid working (up to 2 days per week remote).
","location":"Barcelona, Spain (also Madrid, Milano, Gdynia)","city":"Barcelona","locationType":"hybrid","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.dnv.com/job-search/energy-systems/it-and-software/barcelona-spain-madrid/ml-engineer-generative-ai/300001513323131"}],"postedAt":"2026-07-27T21:16:04.838Z","expiresAt":"2026-08-26T00:00:00.000Z","aiInfrastructure":["Hugging Face"],"techStackTags":["CI/CD","Docker","Git","Kubernetes","LLM","Python","RAG","embeddings","fine-tuning","multimodal"],"agenticFrameworks":["LangChain"],"geoRegion":"eu","countries":["ES","GB","IT","NO","PL"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#6575ac","vibrant":"#19ade5","darkMuted":"#0f6889","lightMuted":"#a4d4ac","darkVibrant":"#0d5a77","lightVibrant":"#9cdcf4"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":6,"impressionCount":0,"slug":"dnv-greenpowermonitor-ml-engineer-generative-ai-trPJiJ","isFresh":true,"featured":false},{"title":"Senior AI Engineer","companyName":"DualEntry","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://dualentry.com&size=128","companyWebsite":"https://dualentry.com","description":"About DualEntry Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups. At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years. Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past. We operate with urgency and ownership. We move fast. Why This Role Matters Now Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade. We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies - Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves. We’re a small team, growing fast with huge momentum - join early. As our Senior AI Engineer , you'll design and ship production AI systems that transform how finance and accounting teams operate. This team sits at the intersection of LLMs, ERP workflows and financial data, building the intelligence layer that makes fundamentally different from legacy ERP. You'll own high-impact features end-to-end, from model integration to infrastructure. This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar. 📍 Location: Remote with overlap to our New York City HQ (EST) Where you'll create impact Own AI features end-to-end from designing agentic workflows and RAG pipelines to the infrastructure that runs them in production at scale Work on genuinely hard problems financial data is structured, high-stakes and unforgiving, making it one of the more interesting domains to apply LLMs to. Build the evaluation frameworks and experimentation loops that turn good models into reliable, production-grade systems. Partner directly with product and domain experts to push the frontier of what AI can do inside an ERP, not just what's been done before. What sets you up for success Hardcore work ethic and high agency 3+ years in a technical role with a strong foundation in backend systems, APIs, and cloud infrastructure 2+ years shipping production AI systems with real users and real stakes, not research or prototypes Hands-on experience with production LLM applications, RAG pipelines, agentic systems or structured extraction Proficiency in Python and comfort working across the full stack to deliver end-to-end features Bonus Points Background in fintech, ERP, or accounting software Experience with fine-tuning or training models, not just inference Familiarity with Python, Kotlin, Java, or TypeScript Experience building AI systems that operate on structured financial or transactional data How You Operate Pragmatic : you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability - we use Postgres until it breaks Hard working : 'You can work long, hard, or smart, but [here] you can't choose two out of three\" - Jeff Bezos. We wrote this job post during the weekend Curious : you love to learn, are highly curious about new frameworks and solutions to engineering problems Fast-moving: you deploy daily, iterate quickly, and never wait for permission Why you’ll thrive here Significant equity ownership in one of the top AI companies in the world You’re joining early and will grow with DualEntry Your feedback shapes the product directly High-speed culture High-trust environment with high expectations Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years Compensation & Benefits Equity: $45,000 - $65,000 USD Base Salary: $140,000 - $200,000 USD Remote-first team - the fastest team you will have ever worked with Time Off: 27 PTO days (incl. public holidays) Visa sponsorship option for relocation to NYC within 2+ years Early-stage role with high autonomy and real long-term upside Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do. If you’re hungry, driven, and ready to build something massive, climb aboard! At DualEntry, we believe great products come from diverse teams. We’re an equal opportunity employer, and we’re committed to a culture where everyone feels included, supported, and able to do their best work.
","location":"Remote (US, NYC HQ overlap, EST)","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":140000,"salaryMax":200000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/dualentry/7acbe603-8fbc-4249-942a-ee45eb273ea6"}],"postedAt":"2026-07-27T21:16:04.838Z","expiresAt":"2026-08-26T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["LLM","Python","RAG","agentic workflows"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#68979e","vibrant":"#296c76","darkMuted":"#246474","lightMuted":"#b4ccd4","darkVibrant":"#246474","lightVibrant":"#9cd4dc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":14,"impressionCount":0,"slug":"dualentry-senior-ai-engineer-8jJcUg","isFresh":true,"featured":false},{"title":"Senior Backend Engineer- AI Agents (Remote)","companyName":"Level AI","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://thelevel.ai&size=128","companyWebsite":"https://thelevel.ai","description":"About Level AI
\nLevel AI is on a mission to turn every customer interaction into a strategic advantage. Our AI-native platform helps enterprises transform contact centers from cost centers into engines of customer intelligence, operational efficiency, and business growth. By combining advanced AI with deep domain understanding of customer experience, Level AI empowers teams to unlock actionable insights, automate workflows, and deliver more consistent, higher-quality support across the customer journey.
\nHeadquartered in Mountain View, California, Level AI is a Series C company backed by leading investors including Battery Ventures and ENIAC. Our platform leverages Large Language Models and Custom Small Language Models (SLMs) to power AI Agents across the entire CX journey—customer-facing agents, agent-assist, and backend automation—along with deep conversation analytics for QA, coaching, and insights.
\nAbout the role
\nAs a Senior Engineer – AI Agents, you will play a critical role in building the scalable backend systems that power Level AI’s next-generation AI Agents. These systems operate in real-time, high-volume enterprise environments and are central to delivering intelligent, production-grade AI experiences.
\nYou will work at the intersection of distributed systems, cloud infrastructure, and AI-powered applications—bringing agentic AI capabilities into production at scale.
\n-
Design and build scalable backend systems powering AI Agents that operate in real-time enterprise environments
-
Develop agent orchestration frameworks (multi-step reasoning, tool usage, decisioning workflows)
-
Build systems for agent memory, context management, and state persistence across interactions
-
Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools/services
-
Implement evaluation (evals) frameworks to measure agent performance, accuracy, and reliability
-
Enable continuous improvement loops (feedback → retraining → deployment) for AI agents in production
-
Design and manage event-driven, asynchronous workflows for complex agent tasks
-
Optimize systems for high throughput, low latency, and cost-efficient inference at scale
-
Build and maintain robust APIs and service layers (REST / gRPC) for agent capabilities
-
Partner closely with Applied AI / ML teams to productionize models and agent behaviours.
-
Collaborate with Product and Solutions teams to translate real customer workflows into agentic systems
-
Drive best practices in observability, monitoring, safety, and guardrails for AI systems
-
Contribute to architecture decisions for scaling multi-tenant, enterprise-grade AI platforms
Perks & Benefits
\n-
Competitive compensation with performance-based upside
-
Flexible vacation policy
-
Health insurance coverage
-
Work with a globally distributed, high-impact team
-
Opportunity to build cutting-edge AI products at scale
-
Regular team offsites and in-person collaboration
To learn more visit : https://thelevel.ai/
\nFunding : https://www.crunchbase.com/organization/level-ai
\nLinkedIn : https://www.linkedin.com/company/level-ai/
\nOur AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s
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\nTeams at companies like Stripe, Uber, and Dropbox rely on Sourcegraph to ship faster and with higher quality. We’re backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and a deep love for developers and their craft.
\nIf you want to contribute to infrastructure that empowers millions of developers to do their best work - join us.
🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.
\nPreferred locations:
\nSourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search, our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist, turning natural language queries Sourcegraph query syntax, Smart Hovers, concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day.
\nMost of what makes those surfaces tick is agent engineering: a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the senior agent engineer on Code Understanding, you'll be the technical owner of it: setting the agentic direction for the team, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models.
\nThis is a senior role: we're hiring a technical leader, not just a strong individual contributor. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before.
\nConcretely, you'll own work like:
\nYou'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work.
\n📅 Within one month, you will…
\n📅 Within three months, you will…
\n📅 Within six months, you will…
\nYou are a senior engineer and technical leader with hard-won skills in agent engineering - a blend of software engineering, machine learning, and statistics. This is a senior, high-leverage role that relies on your real agent engineering judgment applied to a fast-moving product, plus the ability to collaborate on steering technical direction and to be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it.
\nYou operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship.
\nOn the engineering fundamentals:
\nNice-to-haves:
\n📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook.
\n💸 We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. As an open and transparent company that values competitive compensation, our compensation ranges are visible to every single Sourcegraph teammate.
\nYour salary is determined by your pay band for the IC4 job level. For determining pay bands, we use a number of market and data-driven salary sources, along with your location zone, and target the high-end of the range to ensure we’re always paying above market regardless of where you live in the world. Both U.S. and international locations are divided into one of four zones, determined by the cost of labor index for each area. The salary for a successful candidate will be based on level, job-related skills, experience, qualifications, and location zone. Please note that the salaries below may be adjusted in the future.
\n💰 The target compensation for this role is based on the IC4 pay band for your zone. The start of the IC4 pay band for each zone is listed below:
\nPlease speak with a recruiter for additional information regarding zone locations.
\n📈 In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits.
\nBelow is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
\nWe expect the interview process to take 4.75 hours in total.
\n👋 Introduction Stage - we have initial conversations to get to know you better…
\n🧑💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
\n🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically…
\nPlease note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
You can learn more about what it is like to work at Sourcegraph by reading our handbook.
\nWe are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture, competitive compensation and benefits here.
\nSourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
\nSourcegraph participates in E-Verify for U.S. Employees.
Jeeves is a groundbreaking financial operating system built for global businesses that provides corporate cards, cross-border payments, and spend management software within one unified platform. The company operates across 20+ countries including Brazil, Canada, Colombia, Mexico, the United Kingdom, across Europe, and the United States, and serves over 5,000 clients ranging from venture-backed startups to SMBs around the world. With a mission to empower businesses with more efficient and cost-effective financial solutions worldwide, Jeeves combines cutting-edge financial technology with exceptional team expertise to transform the business financial landscape. Jeeves has been recognized as one of The Information's 50 Most Promising Startups in 2023, as well as a Y Combinator Top Company 2021-2023 and won “Fintech of the Year\" at the European Fintech Awards.
\nSince graduating from Y Combinator in 2020, Jeeves has successfully raised over $380 million and is backed by top world-class investors including Andreessen Horowitz, Y Combinator, CRV, Tencent, Stanford University, Clocktower Ventures, and founders of more than 15 unicorns including David Velez (Nubank), Carlos Garcia (Kavak) and Sebastián Mejía (Rappi).
\nJeeves is building AI into the core of its financial platform — from intelligent spend categorization and anomaly detection to LLM-powered workflows that help finance teams move faster. We're looking for a Senior AI Engineer who is obsessed with building AI systems that actually work in production: reliable, observable, cost-efficient, and genuinely useful.
\nThis is not a research role. You will ship AI-powered features that process real financial data for real businesses. You'll work alongside backend engineers, data scientists, and product teams to take AI from prototype to production — and you'll help define how Jeeves builds with AI as the company scales.
\nIf you've built LLM pipelines, designed RAG architectures, operated ML systems in production, and care deeply about what happens when your AI makes a wrong call in a financial context — we want to meet you.
\nLocation: This is a full-time remote position. #LI-REMOTE
\nLLM & AI Pipeline Engineering
\n-
Design, build, and maintain production-grade LLM integration pipelines — including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.
-
Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.
-
Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.
-
Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.
-
Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.
Retrieval & Vector Search
\n-
Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.
-
Build document ingestion and chunking pipelines for Jeeves's financial data — processing invoices, receipts, policy documents, and transaction records.
-
Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.
ML Model Serving & Operations
\n-
Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.
-
Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.
-
Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.
-
Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.
Backend Integration & Reliability
\n-
Integrate AI services cleanly with Jeeves's backend microservices — designing clear API contracts, circuit breakers, and graceful degradation patterns.
-
Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.
-
Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.
-
Build human-in-the-loop review workflows for AI decisions that require oversight — particularly for high-value financial actions.
Collaboration & Growth
\n-
Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.
-
Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.
-
Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.
Minimum Requirements
\n-
Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent practical experience.
-
5+ years of professional software engineering experience, with at least 3 years focused on AI/ML systems in production.
-
Hands-on experience building and deploying LLM-powered applications using APIs such as OpenAI, Anthropic, or Cohere in a production environment.
-
Experience designing and operating RAG pipelines, including chunking strategies, embedding models, and vector database integration (Pinecone, Weaviate, pgvector, or similar).
-
Strong proficiency in Python for AI/ML workloads; familiarity with at least one AI orchestration framework (LangChain, LlamaIndex, or equivalent).
-
Experience with ML model serving infrastructure: REST or gRPC inference endpoints, input/output validation, latency budgeting, and monitoring.
-
Solid backend engineering fundamentals: REST APIs, relational databases (PostgreSQL preferred), async patterns, and cloud infrastructure (AWS, GCP, or Azure).
-
Experience with observability tooling: structured logging, distributed tracing, and building dashboards for AI system health.
Preferred Qualifications
\n-
Experience in fintech, financial services, or any regulated industry where AI reliability and auditability are critical.
-
Familiarity with prompt evaluation frameworks, A/B testing AI outputs, and tracking model performance degradation in production.
-
Experience with ML lifecycle management tools: MLflow, Weights & Biases, Vertex AI, or SageMaker.
-
Knowledge of real-time data streaming (Kafka, Kinesis) for event-driven AI pipelines.
-
Contributions to open-source AI tooling, published technical writing, or talks at AI/ML conferences.
-
Prior startup or scale-up experience — comfortable with ambiguity and building foundational systems from scratch.
Caseware is one of Canada's original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. While you might not have heard of us (yet) over 36,000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles!
\n📍 Location: This is a fully remote position located in Colombia.
\nContact
\nMaira Russo - Senior Talent Acquisition Partner
\nestablishing architectural standards, contracts, and design principles that enable
scalable, secure, reusable, and trustworthy AI capabilities across multiple teams.
workflows, and AI-enabled services, including multi-agent systems, agent
execution runtimes, workflow orchestration, memory management, and human-inthe-loop AI capabilities.
frameworks that ensure AI systems are measurable, explainable, compliant, and
continuously improving.
solve real customer problems.
\ndiscussions, and hands-on collaboration.
\nwhen making technical decisions.
\nacross AI systems and platforms.
\nproduction environments.
\ndeliver business value.
\ninfluence, and shared ownership.
\nmaturity.
\nimpact beyond a single team
\nplatforms at scale.
\nplatforms at scale.
\nmechanisms.
\nreliability, and scalability.
\nteams.
\nrequirements.
\n▪️Innovation is at our core. We work with cutting-edge technology in accounting and financial reporting, constantly pushing the boundaries to create impactful software solutions.
\n▪️We are committed to a collaborative culture, where your ideas are valued, and knowledge sharing is encouraged within a supportive, inclusive team.
\n▪️Work-life balance is important to us. We offer flexible work options, remote opportunities, and generous time-off policies to ensure a healthy work-life balance.
\n▪️We offer competitive compensation, including a competitive salary and comprehensive benefits
\n▪️We are driven by impactful work. Your contributions directly affect how our clients manage financial processes and drive their success.
\n▪️Recognition and rewards matter to us. We celebrate hard work through recognition programs, performance bonuses, and opportunities for career growth.
\n▪️We embrace global opportunities. Work on international projects and collaborate with a diverse, global team.
\nCaseware's cutting-edge software products are meticulously designed for accounting firms, corporations, and governments. Our teams are continually collaborating, innovating, and building upon our existing suite of products. With a customer-focused mindset, we are building technology that is shaping what the future of audits, financial reporting, and financial data analytics will look like.
\nWith a recent strategic investment from Hg Capital in 2020, Caseware is now in its next major growth phase as we double down on the people and products that have made Caseware so successful to date.
\nOne of Caseware's core values is Many Voices, One Team and with that in mind, we're dedicated to building teams as diverse as our customers in an equitable and inclusive way. We welcome and encourage candidates of all backgrounds to apply. Should you require accommodations or have any questions at any point during the application or interview process, please e-mail our People Operations team at talent@caseware.com.
\nAny candidates successful in obtaining an offer for a position will need to successfully complete a background check through Certn.co which typically includes an Identity Verification and Criminal Record Check. Executives and Senior Managers will undergo a Soft Credit Check as well. Candidates residing in the Netherlands and Germany are excluded from undergoing background checks via Certn.co
\nCaseware takes the security of candidates seriously. All legitimate communication from us will come from email addresses ending in @caseware.com and our open positions are always listed on reputable job boards and on our website https://jobs.lever.co/caseware. We will NEVER ask for payment or financial information from you. If you receive an unsolicited job offer, proceed with extreme caution.
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\nYou will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale.
\nWhy Zania
\nEvery enterprise spends millions on Governance, Risk, and Compliance. It's one of the most critical — and most painful — parts of running a business. The industry has been dominated by legacy platforms with notoriously low NPS scores for decades. It's completely ripe for disruption.
\nZania is building agentic AI for GRC to solve this problem. We're building intelligent agents that execute complex risk and compliance workflows with full explainability — not dashboards, not copilots, but agents that do the work. We've found exceptional product-market fit and are scaling fast.
\nThe role
\nYou will build AI systems designed to outperform the world's leading experts in Governance, Risk, and Compliance. Not research. Not prototypes. Production systems with a fanatical focus on accuracy, explainability, and responsible design. You will own the AI-native products that set a new global standard for GRC.
\nWe use an in-person work model and offer relocation assistance.
\nWhat you'll do
\nRepresentative projects
\nWhat you have
\nMinimum Qualifications
\nCompensation & benefits
\nZania is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
","location":"San Francisco, California, United States","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":180000,"salaryMax":250000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/Zania/8cc549cb-4975-468d-bcf4-4d6ee81e6f2d"}],"postedAt":"2026-07-27T21:16:04.838Z","expiresAt":"2026-08-26T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["LLM","RAG","agentic workflows","evals","fine-tuning","multi-agent"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#4c4c4c","vibrant":"#7f7f7f","darkMuted":"#040404","lightMuted":"#4c4c4c","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":10,"impressionCount":0,"slug":"zania-applied-ai-engineer-V0nxwB","isFresh":true,"featured":false},{"title":"Senior Software Engineer - Agentic AI","companyName":"airSlate","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://airslate.com&size=128","companyWebsite":"https://airslate.com","description":"About airSlate
\nairSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.
\nWe’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Romania, Ukraine and Philippines.
\nAt airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment.
\nWe are a passionate and ambitious team of 100+ people on a mission to succeed with our award-winning signature solution – SignNow.
\nSignNow empowers over 28 million people at companies across the world to move fast with everything they need to send and eSign their documents. Increase productivity with document workflows, impress customers, and save money while maximizing ROI with SignNow.
\nAnd now we are looking for a Senior AI Engineer to focus on building AI capabilities from the ground up in a greenfield environment, helping shape the foundations of how intelligence is embedded into the product. You will design and implement production-grade agentic workflows, pipelines, and AI-powered product experiences, going beyond simple model usage to create reliable systems that can deliver real business value.
\nThis role requires strong ownership in evaluating frameworks, orchestrating deterministic and non-deterministic flows, and turning emerging AI technologies into scalable product capabilities. Will collaborate closely with cross-functional teams and senior engineers across the organization to define architecture, drive technical initiatives, and help establish the engineering standards for AI systems in a production environment.
\nReady to shape the future of AI in production?
\nJoin the group of AI ambassadors across airSlate, helping define how AI is built, scaled, and embedded into products used by millions. This is a greenfield opportunity to architect production-grade AI systems for a mission-critical product.
\nIf you’re excited by real-world AI, complex tradeoffs, and meaningful technical ownership, let’s talk!
\nWhat we offer
\nFlexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.
\nCompetitive compensation and stock options - We offer salaries that reflect local market conditions and experience, plus a performance-based bonus system and stock options so you share in the company’s growth.
\nProfessional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.
\nHealth and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.
\nFamily‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.
\nGiving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.
\nOpen communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.
\nIt is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.
\nRead our Recruitment Privacy Notice to Learn how we process your personal information.
","location":"Wrocław, Poland (Remote)","city":"Wrocław","locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.lever.co/airslate/7fb7e6ed-4d5d-437f-bb8f-35005f67f41b"}],"postedAt":"2026-07-27T21:16:04.838Z","expiresAt":"2026-08-26T00:00:00.000Z","aiInfrastructure":["Langfuse","LiteLLM","MCP","pgvector"],"techStackTags":["Python"],"agenticFrameworks":["LangGraph"],"geoRegion":"eu","countries":["PL"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#747474","vibrant":"#7f7f7f","darkMuted":"#515151","lightMuted":"#c7c7c7","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":6,"impressionCount":0,"slug":"airslate-senior-software-engineer-agentic-ai-TOtXqY","isFresh":true,"featured":false},{"title":"Senior Applied AI Engineer","companyName":"Curai Health","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://curaihealth.com&size=128","companyWebsite":"https://curaihealth.com","description":"At Curai, we believe that access to high-quality healthcare is a fundamental human right, not a privilege. Our mission is to radically transform healthcare delivery by harnessing the power of artificial intelligence and clinical expertise to make care more affordable, accessible, and effective for everyone. Patients interact with advanced AI systems at every step of their care and follow-up. Licensed physicians review each case with the patient for the clinical decision in our integrated virtual clinic.
\nWe ground our approach in rigorous research, continuous learning, and a deep commitment to clinical integrity. We focus on making a real impact: improving health outcomes, expanding access to care, and setting new standards for what trustworthy, patient-centered healthcare is. Read some of our latest publications.
\nWe are hiring Senior Applied AI Engineers across a range of seniority levels to push the frontier of applied AI in healthcare. As an MTS on the engineering team, you will design, build, and ship ML and LLM systems that directly shape how clinicians and patients interact with our platform. You will work end-to-end: framing the problem, exploring data, training and evaluating models, productionizing inference, and measuring real-world clinical and product impact. The bar is high and the surface area is large; we are looking for engineers who want significant ownership and are excited to operate where research meets production.
\nNice to Have
\nCompensation: $175,000 - $200,000/year
\nThe pay range listed for this position reflects what Curai Health reasonably and in good faith expects to pay at the time of posting. Actual base salary will depend on a variety of factors, including your qualifications and years of relevant experience.
\nCulture: A mission-driven team of talented colleagues who are committed to living our values, collaborating closely, and driving meaningful impact in healthcare.
\nCurai Health is an equal opportunity employer and is deeply committed to building a diverse and inclusive workforce. In keeping with our beliefs and values, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital or domestic partner status, sexual orientation, gender identity, disability status, veteran status, or any other legally protected characteristic. To promote an equitable and bias-free workplace, we set competitive compensation packages for each position and do not negotiate on our offers. We are looking for mission-driven teammates who embody our core values and appreciate our transparent approach.
\nBeware of job scam fraudsters! Our company uses @curai.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be from Curai from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us at jobs@curai.com.
","location":"Remote - US","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://jobs.lever.co/curai/a5e85c45-912f-425a-8955-a52153c3d077"}],"postedAt":"2026-07-27T21:16:04.838Z","expiresAt":"2026-08-26T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Python"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#743824","vibrant":"#c46444","darkMuted":"#17816d","lightMuted":"#80187f","darkVibrant":"#146c5c","lightVibrant":"#ec9ceb"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":6,"impressionCount":0,"slug":"curai-health-senior-applied-ai-engineer-HE0kHV","isFresh":true,"featured":false},{"title":"Full Stack Engineer ( AI Agent)","companyName":"Binance","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://binance.com&size=128","companyWebsite":"https://binance.com","description":"Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
\n**Position Mission**
\nResponsible for designing and building the complete client experience of the Binance.ai Agent Platform, enabling users to complete financial research, create workflows, configure nodes, view dynamic dashboards, and manage long-running trading strategies through natural language.
\n**Bonus Points**
\nWhy Binance
\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Jus Mundi is building the AI layer for international law and arbitration, turning a vast, multilingual corpus of case law, treaties, and legal analysis into answers practitioners can trust. Founded in 2019 and headquartered in Paris (with offices in New York, London, and Singapore), the company serves 150,000+ users across 90+ countries and recently raised a $22M Series B.
\nThis is a hands-on senior role that owns applied AI systems end to end: search relevance and retrieval, RAG over legal documents, autonomous research agents, and the evaluation harnesses that keep them accurate. You take ambiguous problems (\"make our search more relevant\", \"let users ask a question and get a cited answer\") and turn them into concrete technical roadmaps, then ship them to production with measurable impact.
\nNice to have: legal-tech or high-stakes domain experience, multilingual NLP/retrieval, model inference optimization (vLLM, TensorRT-LLM), cloud infrastructure (AWS, GCP, Azure) and containerization, open-source AI contributions.
\nBenefits: 5 weeks annual vacation, 100% private health insurance (employee + children), 60% company-funded meal vouchers, ClassPass co-financing, 8 weeks/year international remote, relocation assistance to France, ongoing training, and company summits.
","location":"Paris, France","city":"Paris","locationType":"hybrid","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","value":"https://ats.rippling.com/jus-mundi-careers/jobs/be07cf65-834a-4dc1-b719-8657709e7f76"}],"postedAt":"2026-07-27T21:16:04.838Z","expiresAt":"2026-08-26T00:00:00.000Z","aiInfrastructure":["Anthropic","Hugging Face","Mistral","OpenAI API","vLLM"],"techStackTags":["LLMOps","LoRA","Node.js","Python","QLoRA","RAG","React","TypeScript","embeddings","fine-tuning","vector databases"],"agenticFrameworks":["AutoGen","LangChain","LangGraph","LlamaIndex"],"geoRegion":"eu","countries":["FR"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#165c82","vibrant":"#1c74a4","darkMuted":"#155883","lightMuted":"#165c82","darkVibrant":"#1c74ac","lightVibrant":"#8dcaeb"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":8,"impressionCount":0,"slug":"jus-mundi-senior-ai-engineer-genai-and-autonomous-agents-3a_EG8","isFresh":true,"featured":false},{"title":"AI Engineer","companyName":"Onit","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://onit.com&size=128","companyWebsite":"https://onit.com","description":"We’re seeking a AI Engineer to design and ship production-grade agentic AI systems that automate complex workflows end-to-end. This is a hands-on role with significant technical ownership. You’ll work closely with the Chief Architect, product, engineering, and domain experts to translate ambiguous, high-impact problems into reliable AI-driven user experiences.
\nShip AI capabilities that measurably improve user outcomes (quality, time saved, throughput)
\nBuild systems that are reliable by design: evals, observability, safety, and cost/latency controls from day one
\nIterate quickly using a tight loop of instrument → evaluate → improve → deploy
\nAgentic AI Feature & Workflow Development
\nEvaluation, Quality & Iteration (Core)
\nEngineering, Integration & Observability
\nProduct & Collaboration
\nGovernance & Safety
\nCore Strengths (Required)
\nSignals We Value
\nNice to Have
\nGitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
\nThe same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
\n*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
\nAn overview of this role
\nAs a Senior Backend Engineer on the GitLab Agent Tools team, you'll go beyond using AI tools and help define how we design, build systems that allow AI agents to interact with the full software delivery lifecycle, way beyond pure code creation. This encompasses GitLab’s MCP server as well as future technologies that are aimed at providing AI agents ways to interact with GitLab.
\nIn this role you’ll take end-to-end ownership of complex features and help establish architectural patterns for how GitLab exposes its rich functionality to AI agents. You’ll collaborate closely with engineers across the Agent Foundations stage and adjacent teams within AI engineering. This is a high-visibility area of the product at the intersection of GitLab's core platform and its AI strategy.
\nWhat you'll do
\nWhat you'll bring
\nAbout the team
\nAgent Tools is a new functional team within the Agent Execution group. The team itself will initially consist of three engineers across AMER and EMEA timezones. The whole Agent Execution group consists of 8+ engineers. Beyond the Agent Tools team, Agent Execution consists of further teams focussed on agent observability and executing agents on GitLab’s runners. We’re partnering with teams both within the AI space as well as all over GitLab to ensure that the Duo Agent Platform can become the backbone of many AI features at GitLab.
How GitLab Supports Full-Time Employees
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
\nCountry Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
\nPrivacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
\nGitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
","location":"Remote - Canada; Remote - United Kingdom","city":null,"locationType":"remote","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/gitlab/jobs/8603839002"}],"postedAt":"2026-07-20T21:02:32.947Z","expiresAt":"2026-08-19T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["GraphQL","PostgreSQL","Python","REST","Ruby","Ruby on Rails","SQL","Vue"],"agenticFrameworks":[],"geoRegion":"us","countries":["CA","GB"],"remoteScope":"country-specific","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#963302","vibrant":"#fc6c24","darkMuted":"#963302","lightMuted":"#965602","darkVibrant":"#822c01","lightVibrant":"#fc9f24"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":2,"impressionCount":0,"slug":"gitlab-senior-backend-engineer-ruby-ai-engineering-duo-agent-platform-tools-0wMwnD","isFresh":true,"featured":false},{"title":"Software Engineer, AI Agents","companyName":"Cloudflare","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://cloudflare.com&size=128","companyWebsite":"https://cloudflare.com","description":"About Us
\nAt Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
\nAt Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a \"normalized\" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
\nSoftware Engineer, AI Agents
\nLocation: India, Bangalore
\nExp: 5 - 10yrs
\nWhy This Role Matters
\nAt Cloudflare, we're building industrial-scale AI agents that support customers directly. This isn't research theater. Your code will power real customer interactions from day one, at global scale.
\nCloudflare already has the parts. You will assemble Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, AI Gateway, and the Agent SDK into real agents customers use every day.
\nRole Intent
\nShip production agents on the Cloudflare stack. Build, deploy, learn, repeat. Your code is the front door for Cloudflare customers.
\nWhat You Will Do
\nMust Have
\nNice to Have
\nHow We Build
\nWhy Join Cloudflare in India?
\nImpact at global scale: Your code will serve Cloudflare's customers across every region. Tens of millions of Internet properties depend on us.
\nWork on the edge: Few companies give engineers the chance to build AI directly into an edge platform that runs in 300+ cities worldwide.
\nCareer growth: As one of the early engineers in our India based AI team, you'll have visibility, leadership opportunities, and a direct hand in shaping Cloudflare's AI roadmap.
\nCulture of ownership: We believe in autonomy, accountability, and trust. Engineers here own outcomes, not just tickets.
\nLearn and grow fast: Collaborate with peers across Support, Product, Security, and AI Platform teams. We encourage knowledge sharing, mentorship, and continuous learning.
\nInterview Signal
\nTeam Mission
\nThe Agent Tech team owns the end to end stack for customer facing agents on Cloudflare. Everything runs at the edge.
\nCore Stack: Workers, Durable Objects, KV, R2, D1, Queues, Pub/Sub, Vectorize, Workers AI, AI Gateway, Pages, Zero Trust.
\nPrinciples: Ship fast. Measure truth. Simplify relentlessly. Own outcomes.
\nFraud Alert: Do not fall victim to recruitment fraud. Cloudflare never charges application fees or requires candidates to purchase third-party certifications or training as a condition of employment. All official communication comes strictly from @cloudflare.com email addresses.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
\nProject Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
\nAthenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
\n1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
\nSound like something you’d like to be a part of? We’d love to hear from you!
\nPlease note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
\nThis position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
\nCloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.
\nCloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
","location":"Bangalore, India","city":"Bangalore","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://boards.greenhouse.io/cloudflare/jobs/7831810?gh_jid=7831810"}],"postedAt":"2026-07-20T21:02:32.947Z","expiresAt":"2026-08-19T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["PostgreSQL","Rust","TypeScript"],"agenticFrameworks":[],"geoRegion":"apac","countries":["IN"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#972e01","vibrant":"#fc540c","darkMuted":"#972e01","lightMuted":"#953103","darkVibrant":"#822801","lightVibrant":"#fca47c"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":13,"impressionCount":0,"slug":"cloudflare-software-engineer-ai-agents-EaRXB2","isFresh":true,"featured":false},{"title":"Software Development Engineer III - Workflow AI","companyName":"HighLevel","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://gohighlevel.com&size=128","companyWebsite":"https://www.gohighlevel.com","description":"HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.
\nOur peopleWith over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.
\nOur impactEvery month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.Learn more about us on our YouTube Channel or Blog Posts
\nAbout Us
\nWe are building the future of automation by integrating AI into workflows to make processes seamless and intelligent. Join us to lead the development of innovative AI-driven features at scale.
\nQualifications
\nThe company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.
\nWe encourage you to review our Privacy Policy before submitting your application
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Software Architect 🌟
You'll architect a sophisticated, multi-tenant AI security platform —a 7-stage LLM-powered control-generation pipeline that generates right-sized cybersecurity controls with full bidirectional traceability. This is not a proof-of-concept; it's a production system where reproducibility, security, and audit-ability are foundational.
You own the high-level design decisions: where the deterministic/AI boundary lives, how to enforce multi-tenant isolation at the database layer, how to defend against prompt injection, how to validate LLM outputs at scale. You'll guide a small team of AI engineers, baseline architectural decisions early, and remain the escalation point for ambiguous calls.
KEY RESPONSIBILITIES
-
Act as the architecture authority – own the deterministic/AI boundary design, multi-tenant data isolation model, and LLM security posture; baseline architectural decisions in week 1 that lock the team's constraints
-
Technical owner from design to delivery – tailor solutions to Alpine's stated requirements (FastAPI + PostgreSQL + AWS Bedrock + ECS Fargate) while defending against scope creep and technical debt
-
Partner with stakeholders to capture requirements – work with client leadership to translate business and compliance needs into architectural constraints (e.g., multi-tenant isolation, run-to-run consistency guarantees, audit trails)
-
Assess and plan for technology insertion – evaluate architectural trade-offs (e.g., why a single bounded AI step beats two, why RLS + FORCE ROW LEVEL SECURITY beats application-layer filtering, why Pydantic schema validation is the output gate)
-
Manage risk identification and mitigation – surface and mitigate delivery risks (e.g., CISO golden-set availability, prompt-injection surface area, cross-tenant isolation defects) with concrete mitigation strategies
-
Influence and communicate vision – define the long-term product roadmap (Tools 1–5), technical vision (the 5-section Source of Truth structure, the 7-stage pipeline design), and development strategy (agentic-orchestration approach, vertical slices, always-functional milestones)
-
Contribute to code reviews and architectural artifacts – review critical paths (Bedrock adapter, RLS policies, Stage 4 calibration logic); document architectural decision records (ADRs) that capture the why, not just the what
-
Lead and mentor the team – guide the AI/LLM Lead and Backend engineers on AI reliability, security patterns, and multi-tenant design; escalate ambiguity upward rather than letting it flow down to individual engineers
MINIMUM QUALIFICATIONS
-
Bachelor's degree in Computer Science or related field (or equivalent professional experience)
-
\n-
Python and async patterns (FastAPI, async/await)
-
PostgreSQL and multi-tenant database design (RLS, row-level security, schema isolation)
-
AWS cloud architecture (Fargate, RDS, IAM, Secrets Manager, Bedrock)
-
LLM system design (prompt engineering, consistency guarantees, output validation, prompt injection defense)
-
Security architecture (least-privilege access, encryption in transit, audit logging, cross-tenant isolation)
-
Operational excellence in design methodologies – fluency in architectural patterns (layered, event-driven, pipeline), UML/C4 models, and decision-record documentation
-
Experience designing SaaS or highly scalable distributed applications on the cloud
-
Leadership of Agile teams – proven ability to work in sprint-based delivery, set technical standards, and communicate trade-offs to product and engineering stakeholders
-
High-level design proficiency – C4 models, architecture decision records (ADRs), and risk matrices
-
DevOps and CI/CD expertise – Terraform, Docker, automated testing, migration guards, security scanning
-
High proficiency in English – ability to articulate architecture to global teams, clients, and executive stakeholders
-
Natural leader with critical reasoning – comfort making architectural calls in the face of ambiguity and defending those decisions to stakeholders
ADDITIONAL EXPERIENCE DESIRED
-
AWS Solutions Architect certification or equivalent cloud-platform credential
-
Experience with data pipelines and ETL – multi-stage deterministic flows, orchestration patterns
-
TOGAF or similar enterprise architecture certification
-
Experience designing multi-platform SaaS (web + mobile)
-
Familiarity with security/compliance frameworks (NIST CSF, NIST 800-53, SOC 2, HIPAA) – not required to be a compliance expert, but understanding the language and constraints is valuable
-
Financial acumen – ROI calculation, effort estimation, cost-benefit analysis of architectural trade-offs
-
Experience in regulated industries (healthcare, finance, government) where audit trails and reproducibility are non-negotiable
-
Mentorship track record – evidence of growing engineers' technical capabilities through code review, knowledge-sharing, and collaborative problem-solving
BENEFITS
\n#Li-remote
What is it like to work at 3Pillar?
At 3Pillar, we create an environment where people can do their best work while maintaining a healthy work-life balance.
Flexibility & Well-being – Our remote-first approach gives you the flexibility to work where you perform best, while prioritizing your well-being and personal commitments.
Global Community – Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success.
Your Voice Matters – We foster open communication and multiple feedback channels, ensuring every employee has the opportunity to be heard and make an impact.
Growth & Development – Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth.
Our culture is guided by four core values: Collaboration, Outperform, Respect, and Evolve—the principles that shape how we work, grow, and succeed together.
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\nLead, AI Engineering
\nAs a Lead, AI/ML Engineer at 3Pillar, you will lead end-to-end AI solutions for our clients. You will work on complex AI/ML problems, contribute to architecture decisions, and ship agentic, LLM-based systems and ML solutions in production.
\nThis role sits at the intersection of backend engineering and applied AI. You are someone who can seamlessly connect APIs, orchestrate data flows, and build Retrieval-Augmented Generation (RAG) systems, all while maintaining rigorous data privacy standards. In an era defined by AI, you will be the force that turns theoretical AI concepts into production-ready features.
\nKey Responsibilities
\n-
Design, build, and deploy intelligent backend services using Python and Azure AI Foundry.
-
Consume Force Account outputs by API, ensuring the system can accurately display and act on data classification and extraction.
-
Engineer and optimize Retrieval-Augmented Generation (RAG) pipelines over Standard Operating Procedures (SOPs) to provide contextual, accurate, and actionable insights to users.
-
Deliver assistive intelligence directly on the case, seamlessly integrating AI outputs into the end-user's workflow.
-
Design and strictly enforce a redact-before-model discipline, ensuring that all Personally Identifiable Information (PII) is stripped from payloads before data ever reaches a foundational model.
-
Collaborate with product, design, and engineering teams to shape AI features and translate business goals into technical execution.
-
Proactively identify AI-driven automation and product improvement opportunities, building prototypes to prove value.
-
Mentor junior engineers and champion secure, responsible AI coding practices within your team.
-
Troubleshoot AI-specific technical challenges, including prompt injection risks, model latency, and data leakage.
-
Guide team members on model selection, evaluation, fine-tuning, and Gen AI usage.
-
Actively evaluate emerging LLM tooling, agentic frameworks, and open-source developments for applicability to client engagements.
-
Own the architecture of the team's agentic and LLM systems — agent orchestration, tool integration (e.g., Model Context Protocol), retrieval, and human-in-the-loop design.
-
Design and implement evaluation frameworks for LLM and agentic systems — covering correctness, boundary, and intent checks — as a standard part of delivery.
-
Drive adoption of the agentic SDLC across the team: select and roll out AI engineering tools, define usage and governance standards, and measure their impact on delivery velocity and quality.
-
Establish responsible-AI and evaluation frameworks for agentic systems — guardrails, safety testing, human oversight, and model governance.
Minimum Qualifications
\n-
A minimum of 8+ years of experience in software engineering, with at least 2+ years of hands-on experience integrating LLMs and building AI-driven applications.
-
Demonstrated experience architecting and deploying LLM-based or agentic systems in production, including prompt design, retrieval architecture, and tool/function calling (e.g., MCP)
-
Hands-on experience with leading LLMs and APIs, including OpenAI, Google Gemini, and Anthropic Claude.
-
Experience evaluating and selecting open-source and proprietary LLMs (e.g., OpenAI via Azure AI Foundry) based on accuracy, latency, scalability, cost, and overall performance for production AI solutions.
-
Knowledge of vector stores, embeddings (LangChain, LlamaIndex, etc.).
-
High level of English proficiency required to interact with a globally-based development team and client stakeholders.
-
Deep expertise in Python for backend services and AI integration (replacing traditional Java/C# requirements).
-
Demonstrated, hands-on experience utilizing Azure AI Foundry to build, deploy, and manage AI models and agents.
-
Proven track record of building and managing complex API integrations for data ingestion, extraction, and classification.
-
Strong understanding of security engineering, specifically implementing PII redaction, anonymization pipelines, and secure data handling in AI workflows.
-
Experience delivering well-tested, scalable, secure, and performant enterprise-level systems that achieve client business outcomes.
-
Strong track record of working within Agile software development frameworks.
-
Proficiency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) as a core daily practice, including pipeline construction, test generation, and documentation.
Additional Experience Desired
\n-
Strong programming skills in Python, and familiarity with libraries such as PyTorch, TensorFlow, and Scikit-Learn.
-
Exposure to Matplotlib, Seaborn, or Plotly
-
Familiarity with building and operating Cloud Native applications, including infrastructure-as-code and observability practices.
-
Experience with at least one cloud platform and CI/CD for ML (GitHub Actions, MLflow, etc.).
-
Familiarity with emerging AI Regulations (e.g., EU AI Act, NIST AI RMF) and practical implementation of AI safety guardrails.
Benefits
\n-
Medical Insurance benefits as per company policy.
-
Life Insurance as per company policy
-
15 days of paid vacation plus additional days based on tenure
-
Vacation bonus as per local law
-
Sick leave and paid holidays as per local law
-
Profit sharing as per local law
-
Paternity and maternity leave as per as per local law
-
Marriage, bereavement and graduation leaves as per company policy
-
Christmas bonuses as per local law
-
Work from home allowance as per company policy
-
Punctuality and attendance bonuses as per company policy
-
Food tickets as per company policy
-
Direct deposit of payroll.
-
Paid professional certifications
What It's Like to Work at 3Pillar
\nAt 3Pillar, we create an environment where people can do their best work while maintaining a healthy work-life balance.
\n-
Flexibility & Well-being – Our remote-first approach gives you the flexibility to work where you perform best, while prioritizing your well-being and personal commitments.
-
Global Community – Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success.
-
Your Voice Matters – We foster open communication and multiple feedback channels, ensuring every employee has the opportunity to be heard and make an impact.
-
Growth & Development – Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth.
Our culture is guided by four core values: Collaboration, Outperform, Respect, and Evolve—the principles that shape how we work, grow, and succeed together.
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\nBrex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
\nWorking at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
\nAI at Brex
\nAI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don’t just surface insights—they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we’re turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works.
\nWhat you’ll do
\nYou’ll be a technical owner for Brex’s external AI ecosystem: the integrations, surfaces, and standards that allow customers to interact with Brex through third-party assistants and platforms.
\nOver the next year, you’ll turn early integrations into first-class, exemplar applications — stable, secure, and opinionated — that are showcased by platform partners and relied on by power users at Brex’s most sophisticated customers. You’ll design how Brex data and actions are safely exposed, how permissions and auditability work across boundaries, and how new capabilities (including richer UI surfaces) are introduced over time.
\nThis is a product role disguised as infrastructure. Success is measured by real usage, trust, and customer reliance — not by the number of integrations shipped.
\nWhere you’ll work
\nThis role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We require three coordinated days in the office per week — Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
\nResponsibilities
\nRequirements
\nBonus points
\nCompensation
\nThe expected salary range for this role is $171,000 - $240,000 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
\nBrex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
About DevRev
\nAt DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.
\nAbout the team
\nThe Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify needs for integration with existing enterprise systems and services, workflow and process automation, or customization of the DevRev platform to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals.
\nYour mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development and AI/ML skills to ensure our customers get the most out of the DevRev platform.
\nAbout the role
\nAs a Forward Deployed Engineer at DevRev, you will work closely with our post-sales Customer Experience team to help customers unlock value through AI. You will design and deploy intelligent agents, automated workflows, and integrations that transform how customers operate — connecting DevRev to their broader ecosystem and putting AI to work across their most important business processes. Where needed, you will build custom applications and solutions in TypeScript, JavaScript, Python, and related languages to bring these experiences to life.
\nYou will employ your creativity and technical expertise to ideate and shape how AI, analytics, and workflows are used in customers’ processes. You are a product expert focused on implementation — building, shipping, and iterating to ensure customers get the most out of the DevRev platform.
\nWhat You’ll Do
\nBuild & Deploy
\nData & Insights
\nCollaboration & Enablement
\nWhat You Bring
\nDevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
","location":"Austin, Texas, United States","city":"Austin","locationType":"onsite","employmentType":"full-time","seniority":"mid","salaryMin":null,"salaryMax":null,"salaryCurrency":null,"applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://job-boards.greenhouse.io/devrev/jobs/5668875004"}],"postedAt":"2026-07-20T21:00:03.964Z","expiresAt":"2026-08-19T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS","GCP","GraphQL","JavaScript","Python","SQL","TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c7c7c","vibrant":"#7f7f7f","darkMuted":"#3c3c3c","lightMuted":"#bcbcbc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":5,"impressionCount":0,"slug":"devrev-forward-deployed-engineer-4MZ7vu","isFresh":true,"featured":false},{"title":"Staff Engineer, Agentic Backend","companyName":"Sema4.ai","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://sema4.ai&size=128","companyWebsite":"https://sema4.ai","description":"THE OPPORTUNITY
\nAt Sema4.ai http://Sema4.ai, we’re building an Enterprise AI Agent platform that fundamentally changes how knowledge work gets done—by enabling people and AI agents to collaborate in durable, trustworthy ways.
\nAs a Staff Backend Engineer on the Agent Platform, you will be the engineering counterpart to the AI team. While the AI team designs and evolves the underlying cognitive architectures, you build the production systems, features, and workflows that turn those capabilities into customer-facing features and functionality.
\nThis is an early, high-impact role. You’ll operate at the platform/product boundary, shaping how agents are configured, executed, observed, and scaled in real enterprise environments. Your work will directly determine whether our agents are not just intelligent—but usable, reliable, and operable at scale.
\nWHO YOU ARE
\nAgent Systems Engineer
\nYou know how to turn LLM- and agent-based building blocks into real backend systems. You’re comfortable working one layer above raw cognitive primitives: orchestration, execution models, state management, failure recovery, permissions, and lifecycle management. You understand the sharp edges of agent systems and design defensively around them.
\nPlatform-Oriented Builder
\nYou think in terms of capabilities, not demos. You care deeply about APIs, contracts, defaults, and extensibility. You design systems that other engineers and customers can build on, reliably and easily.
\nProduct-Minded Technologist
\nYou work closely with product and design, and care deeply about how features are actually used. You translate product intent into durable backend abstractions and push back when necessary to protect system integrity, operability, or long-term velocity.
\nEngineer With Judgment
\nYou move fast and with stability. You know when to prototype and when to harden. You think about failure modes, migrations, and operational realities early—even when requirements are still evolving.
\nWHAT YOU’LL DO
\nBuild Product-Grade Agent Infrastructure
\nexecution engines, workflow orchestration, tool invocation frameworks, document processing systems, database interfaces, authentication and authorization, and lifecycle management.
\nTurn AI Capabilities into Features
\nWork closely with the AI team to consume new cognitive primitives and turn them into concrete, shippable functionality: agent behaviors, configuration models, execution semantics, and observability surfaces that customers can rely on.
\nOwn Reliability, Scale, and Operability
\nEnsure agent-powered systems behave predictably under load and over time. This includes handling retries, partial failures, long-running workflows, cost controls, and performance tradeoffs. You’ll help define what “production-ready” means for agents.
\nShape the Platform Surface Area
\nInfluence API design, data models, and internal contracts to ensure the platform remains cohesive as it grows. You’ll help prevent accidental complexity and keep the system understandable and evolvable.
\nContribute to Technical Leadership
\nParticipate in design reviews and code reviews, help set engineering standards, and mentor other engineers. You’ll act as a force multiplier across the product engineering organization.
\nWHAT YOU BRING
\nTHE OPPORTUNITY
\nAt Sema4.ai http://Sema4.ai, we’re building an Enterprise AI Agent platform that fundamentally changes how knowledge work gets done—by enabling people and AI agents to collaborate in durable, trustworthy ways.
\nAs a Staff Engineer on the AI team, you’ll design, build, and extend Sema4.ai http://Sema4.ai’s cognitive architectures—the core platform at the center of our agents. You’ll blend cutting-edge AI research with production-grade rigor to deliver high-leverage capabilities to the agents our customers build daily.
\nThis is an early, high-impact role. You’ll be building foundational infrastructure in a fast-moving environment where decisions matter and tradeoffs are real. We’re looking for engineers who are comfortable operating with ambiguity, but who bring rigor, taste, and strong technical judgment to everything they build.
\nWHO YOU ARE
\nGenAI Expert
\nYou know how to make LLMs and agents do real work in production systems. You understand the sharp edges: prompt brittleness, context limits, tool failures, cost and latency constraints, provider quirks, and enterprise reliability requirements. You’re fluent in current approaches used in AI systems development, and you know how to apply them thoughtfully rather than reflexively.
\nIn-depth Technologist
\nYou stay close to research and industry, but you don’t chase every new idea. You track where the field is heading and design systems that will adapt gracefully as models and techniques evolve. You evaluate trends critically, adopt what works, and avoid unnecessary complexity. You think carefully about abstraction boundaries, failure modes, and long-term maintainability.
\nBuilder With Standards
\nYou care about correctness, clarity, and operational behavior. You’re comfortable iterating quickly, but you understand the limits of your systems and know how to address them when the time is right. You know how to navigate between “not invented here” syndrome and assuming someone else has already solved all your problems.
\nWHAT YOU’LL DO
\nBuild and Own Core Systems
\nYou’ll spend most of your time developing and evolving core agent framework components, orchestration logic, and LLM integration layers. These are not experiments; they are systems customers will rely on for business-critical workloads, and you’ll own them end to end.
\nWork Close to the Product
\nCollaborate directly with the product and field engineering teams to understand how customers are building and applying agents. You’ll help translate these product intents into robust systems, and design new capabilities to advance the art of the possible.
\nSolve Ambiguous, High-Leverage Problems
\nTake on problems where the shape of the solution isn’t obvious: improving agent reliability, managing long-running workflows, balancing cost and performance, and integrating new model capabilities responsibly. You’ll be trusted to figure things out, from concept to production.
\nContribute to Technical Culture
\nYou’ll participate actively in design reviews and code reviews, help shape technical standards, and interview technical candidates. You’ll lead with influence across the engineering and product teams.
\nWHAT YOU BRING
\nThis is a moment of change — and tremendous potential. Do you want to be part of shaping what’s next in human-AI collaboration?
\nSema4.ai enables the enterprise to build, run, and manage intelligent AI agents that transform how people work. As Generative AI shakes up every industry, enterprises are looking for ways to unleash stunning productivity gains; deliver efficiencies with profound effects on the bottom line; accelerate innovation pipelines; and disrupt new markets.
\nRecently named to Business Insider’s list of the most promising startups of 2024, Sema4.ai is funded by tier 1 venture capital firms–the ones who backed household names like Uber, Snapchat, Instagram, and Zendesk. Our founders are innovators in open source, big data, and automation-as-code. As previous leaders of the Enterprise Hadoop offering at Hortonworks and Cloudera, the Sema4.ai team has already managed a quarter of the world’s data with deployments in 90+ countries.
\nTHE OPPORTUNITY
\nAt Sema4.ai, we're building an Enterprise AI Agent platform that reinvents how knowledge work happens—how people and AI agents collaborate to get work done better and faster. You'll be the hands-on leader responsible for building the core of our product: the Agent.
\nWe're hiring a Technical Lead who is deeply technical and can architect cutting-edge AI systems while remaining hands-on with implementation. You'll guide the technical direction of our platform while mentoring senior engineers and driving engineering excellence across the team.
\nWHO YOU ARE
\nWe're seeking a dynamic Forward Deployed Engineer who thrives in fast-paced customer environments and brings deep technical expertise in AI agents. You'll work directly with enterprise clients to design, build, and deploy custom AI agent solutions while serving as the technical bridge between customers and our engineering team. You bring a \"big motor\"—the drive and energy to be first in the office, last to leave, and passionate about making customers successful.
\nWHAT YOU’LL DO
\nPrimary Focus: Deploy Production Agents
\nTechnical Implementation & Support
\nCustomer Success & Account Management
\nTechnical Consultation & Solution Design
\nWHAT YOU BRING
\nRequired Experience
\nTechnical Skills
\nPreferred Experience
\nWHAT SETS YOU APART
\nHOW WE WORK
\nWHY SEMA4.AI
\nAt Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.
\nThe recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.
\nThe opportunity
\nThe Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention.
\nAs a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making \"Self-Serve\" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch.
\nThis is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company.
\nYou will
\nYou should have
\nIt's a plus if you have
\n#LI-onsite
\nThe range displayed on each job posting reflects the minimum and maximum target for new hire base salary for the position in the posting's respective region. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off.
\n$196,875-$246,094 USD
\nCommitment to Equal Opportunity
\nAt Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
\nGlobal Data Privacy Notice for Job Candidates and Applicants
\nDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.
","location":"San Francisco, CA","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"staff","salaryMin":196875,"salaryMax":246094,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/flexport/jobs/7819181"}],"postedAt":"2026-07-20T21:00:03.964Z","expiresAt":"2026-08-19T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["AWS","Java","React","Ruby on Rails","Spring Boot","Temporal"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#18806a","vibrant":"#44dcbc","darkMuted":"#0b538d","lightMuted":"#142784","darkVibrant":"#05243d","lightVibrant":"#546ce4"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":0,"slug":"flexport-staff-software-engineer-autonomous-freight-systems-sPPa96","isFresh":true,"featured":false},{"title":"Senior Software Engineer, AI","companyName":"Unify","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://unifygtm.com&size=128","companyWebsite":"https://www.unifygtm.com","description":"Unify is building the first AI-native outbound platform where agents and sellers work side by side. We help revenue teams identify buyers already in market, enrich accounts with data from 40+ sources, and execute personalized, multi-channel outreach—all from a single AI-powered workspace.
\nTrusted by some of the most innovative go-to-market teams, Unify enables reps to spend less time on manual work and more time building relationships, delivering up to 90% time savings on list building and 19% higher output per rep.
\nWe're building a team of curious, ambitious people who care deeply about craftsmanship, move with urgency, and thrive in fast-paced environments. If you're excited about shaping the future of AI and building products that redefine how modern revenue teams work, we'd love to meet you.
\nAt Unify, we leverage AI throughout our platform to enable innovative workflows and to power the next generation of GTM. As an AI Engineer, you will bring new AI products from zero to one and build the AI platform at Unify. You will work on agents, retrieval systems, classification, fine-tuning, reinforcement learning, and LLM inference infrastructure. If you are interested in working on production AI systems and want to build cutting edge AI applications used by the best GTM teams, this role is for you.
\n-
\nThis a salaried position with a target range of $200,000 - $280,000 (depending on experience), equity package and comprehensive benefits (including medical, dental, vision, and 401(k) options). This position is onsite in either San Francisco, CA, or New York City, NY, offering the invaluable opportunity to work closely with a talented team in a dynamic, high-energy environment. Being in-person enables real-time collaboration, fosters creative problem-solving, and strengthens the connections that drive innovation and impact. You'll be at the center of our fast-paced operations, contributing to a culture that values engagement, growth, and teamwork.
","location":"San Francisco, CA","city":"San Francisco","locationType":"onsite","employmentType":"full-time","seniority":"senior","salaryMin":200000,"salaryMax":280000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/unify/704a93f1-74a6-482f-acd7-f0d226d83055"}],"postedAt":"2026-07-20T21:00:03.964Z","expiresAt":"2026-08-19T00:00:00.000Z","aiInfrastructure":["OpenAI API"],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"onsite","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#972301","vibrant":"#fc3c04","darkMuted":"#972301","lightMuted":"#972301","darkVibrant":"#831e01","lightVibrant":"#fd997b"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":0,"slug":"unify-senior-software-engineer-ai-m-djSI","isFresh":true,"featured":false},{"title":"Software Engineer, Full Stack","companyName":"InstaLILY","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://instalily.ai&size=128","companyWebsite":"https://instalily.ai","description":"About InstaLILY
\nInstaLILY is an AI products and infrastructure company that puts execution at the frontier of enterprise AI. That work begins with Lily™, the world's first AI Forward Deployed Engineer, which learns how a business works, builds the software it needs, and goes live in days. It does not leave when the work ships; it stays and keeps the software working as the business changes. Lily runs wherever the work happens, in the cloud, on-premise, or at the edge, through InstaLILY's Small Data Center, built with NVIDIA technology. Founded in 2023 by Amit Shah and Sumantro Das, InstaLILY has raised nearly $100 million from Energize Capital, Insight Partners, and Home Depot Ventures. Headquartered in New York, with offices in San Francisco, London, and Toronto, InstaLILY serves leading companies across construction, industrial distribution, logistics, healthcare, and other operationally intensive industries. Learn more at https://instalily.ai/.
\nThe Traction
\nRevenue grew 5x over the past year, and Lily has driven over $200M in new annual sales for a single customer. We serve some of the largest operators in our industries, including SRS Distribution (part of The Home Depot family), United Rentals, and Henry Schein, and we work closely with the Google DeepMind and NVIDIA ecosystems.
\nHow We Work
\nWe work in small teams with real ownership: clear problems, direct access to the customers whose work you're changing, and room to ship. Your code runs in live production systems inside billion-dollar operations, so you see your impact directly. People who do well here want that proximity to the work. We're growing fast, and the people who join now shape what this company becomes. Everything runs on three principles: Customers, Culture, and Code.
\nAbout the Role
\nAs a Full Stack Software Engineer at InstaLILY, you'll own meaningful pieces of our AI agent platform: the core systems that let autonomous agents reason, act, and integrate into our enterprise customers' workflows. You'll work alongside the Lead Software Engineer and a team drawn from top-tier programs to design, build, and ship the platform features that show up in production at our customers. You'll work across the stack, from backend services and agent infrastructure to APIs and the web interfaces our customers actually touch.
\nThis role is deeply client-facing. You won't be coding in a vacuum and handing off to a customer success team. You'll be in the room with our customers from the start. You'll sit in working sessions with enterprise stakeholders, run technical discovery, translate messy real-world workflows into shipped features, and embed with customer teams during rollouts. The best engineers here are the ones who can switch between writing production code in the morning and walking a Fortune 500 VP through a system architecture in the afternoon. You need to code at a high bar, make architectural decisions you can defend, and explain them clearly to people who don't speak engineer.
\nResponsibilities
\nMinimum Qualifications
\nPreferred Qualifications
\nOur Stack
\nRequired: TypeScript, React/Next.js, Python, FastAPI, SQLAlchemy, PostgreSQL
\nNice to have: GCP, Vercel, Temporal, Alembic, Docker, prior experience with third-party / enterprise system integrations
\nYou don't need to have used every tool on our stack; strong engineers ramp quickly. But you should be genuinely fluent in the required core: TypeScript on the frontend and Python on the backend, with real production experience shipping features end-to-end.
\nWhat You'll Get
\nCompensation and Benefits
\nQuality Over Quantity
\nTo ensure a focused, high-quality hiring experience, we kindly ask candidates to limit their applications to 3 open requisitions at any given time. Applying strategically to roles that best align with your skills and career goals gives you the highest chance of standing out. Have you interviewed with us in the past 12 months? We encourage you to reach out directly to your previous interviewer rather than submitting a new application.
\nInstaLILY is committed to providing an inclusive and barrier-free recruitment process. If you require an accommodation, please let us know, and we will work with you to meet your needs.
","location":"New York, NY; San Francisco, CA","city":"New York","locationType":"hybrid","employmentType":"full-time","seniority":"mid","salaryMin":150000,"salaryMax":190000,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://job-boards.greenhouse.io/instalilyai/jobs/4261595009"}],"postedAt":"2026-07-20T21:00:03.964Z","expiresAt":"2026-08-19T00:00:00.000Z","aiInfrastructure":[],"techStackTags":["Docker","FastAPI","GCP","Next.js","PostgreSQL","Python","React","SQLAlchemy","Temporal","TypeScript"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c7c7c","vibrant":"#7f7f7f","darkMuted":"#363636","lightMuted":"#bcbcbc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":6,"impressionCount":0,"slug":"instalily-software-engineer-full-stack-okp74F","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 To The Role
\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
","location":"Redwood City, CA","city":"Redwood City","locationType":"hybrid","employmentType":"full-time","seniority":"mid","salaryMin":108000,"salaryMax":170000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://www.observe.ai/position?gh_jid=5254531008"}],"postedAt":"2026-07-20T21:00:01.826Z","expiresAt":"2026-08-19T00:00:00.000Z","aiInfrastructure":["Anthropic","Gemini","OpenAI API"],"techStackTags":["JavaScript","Python"],"agenticFrameworks":["LangChain","LlamaIndex","n8n"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#909008","vibrant":"#f4f43c","darkMuted":"#1c1c0c","lightMuted":"#909602","darkVibrant":"#696c1c","lightVibrant":"#f4fc3c"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":23,"impressionCount":0,"slug":"observeai-ai-agent-engineer-client-facing-PNXyMS","isFresh":true,"featured":false},{"title":"AI Engineer, Product","companyName":"Brex","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://brex.com&size=128","companyWebsite":"https://brex.com","description":"Why join us
\nBrex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
\nWorking at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
\nAI at Brex
\nAI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don’t just surface insights—they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we’re turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works.
\nWhat you’ll do
\nYou'll be a product engineer building Brex's Audit Agent — an agentic system that reviews customer spend at scale and replaces the manual work traditionally done by BPO teams. The agent itself reasons; the surrounding product harness is what makes that reasoning useful, trustworthy, and operable for real customers.
\nThat product harness is where you'll live. You'll design and ship the workflows, surfaces, and data flows that turn the agent's output into something a reviewer can trust and act on — from the reviewer experience itself, to the contracts with Brex's financial system of record, to the feedback loops that make the agent better over time. You'll move fluidly between backend and frontend as the work demands, picking the right altitude for the problem rather than defending a layer.
\nThis role sits between deep agent design and the customer-facing UI, and it leans toward whichever side the next user problem lives on. You'll partner closely with the engineers driving each — translating ambiguous product requirements into shipped features, pushing back when the design isn't right, and treating the seam between agent reasoning and human workflow as a first-class product surface.
\nThe majority of your work will be backend: system design, data modeling, API shape. A meaningful minority will be on the UI itself, where you'll build alongside our frontend engineers when that's where the next user problem lives.
\nWhere you’ll work
\nThis role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We require three coordinated days in the office per week — Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
\nResponsibilities
\nRequirements
\nBonus points
\nCompensation
\nThe expected salary range for this role is $171,000 - $240,000 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
\nBrex LLC is a wholly owned subsidiary of Capital One, N.A.
\nPlease be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
","location":"San Francisco, CA","city":"San Francisco","locationType":"hybrid","employmentType":"full-time","seniority":"mid","salaryMin":171000,"salaryMax":240000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Greenhouse","value":"https://www.brex.com/careers/8606845002?gh_jid=8606845002"}],"postedAt":"2026-07-20T21:00:01.826Z","expiresAt":"2026-08-19T00:00:00.000Z","aiInfrastructure":[],"techStackTags":[],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#848484","vibrant":"#877777","darkMuted":"#595858","lightMuted":"#c1b9b9","darkVibrant":"#463e3e","lightVibrant":"#c0b8b8"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":1,"impressionCount":0,"slug":"brex-ai-engineer-product-eRgCiE","isFresh":true,"featured":false},{"title":"Staff Software Engineer, Applied AI","companyName":"HackerOne","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://hackerone.com&size=128","companyWebsite":"https://www.hackerone.com","description":"HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com http://Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).
\nHackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.
\nHackerOne Values
\nHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.
\nSTAFF SOFTWARE APPLIED AI ENGINEER
\nLOCATION: SEATTLE, WA; AUSTIN, TX; BOSTON, MA; WASHINGTON, DC
\n1 DAY ONSITE PER WEEK
\nPOSITION SUMMARY
\nAt HackerOne, we’re advancing a new era of AI-powered offensive security. As a Staff AI Engineer, you’ll help shape the evolution of our autonomous HAI platform, driving the integration of advanced AI and agentic frameworks into HackerOne’s products.
\nYou will build intelligent security agents that reason, act, and learn — helping security teams identify, validate, and remediate vulnerabilities faster than ever. This is a high-impact technical role, reporting to the VP, AI Engineering, where you will architect the systems and frameworks that power the next generation of AI-driven vulnerability discovery.
\nAt HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a role targeted for candidates within ~50 miles of Seattle, WA; Boston, MA; Washington, DC; or Austin, TX. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. Must be able and willing to come to the office once per week on Thursdays.
\nWHAT YOU WILL DO
\nSuccess in the Staff AI Engineer role will be accomplished by delivering on the responsibilities below in alignment with the Talent Principles that define how we work at HackerOne.
\nMINIMUM QUALIFICATIONS
\nPREFERRED QUALIFICATIONS
\nSEATTLE, WA; BOSTON, MA; WASHINGTON, DC; OR AUSTIN, TX
\n$230K – $280K • Offers Equity
\n#LI-HM1
\n*Eligibility may differ by country
\nWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com https://remote.com/preemployment-faq as our Employer of Record (EOR).
\nVisa/work permit sponsorship is not available.
\nEmployment at HackerOne is contingent on a background check.
\nHackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.
\nThis policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.
\nFor US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.
","location":"Seattle, WA; Austin, TX; Boston, MA; Washington, DC","city":"Seattle","locationType":"hybrid","employmentType":"full-time","seniority":"staff","salaryMin":230000,"salaryMax":280000,"salaryCurrency":"USD","applyMethods":[{"type":"url","label":"Apply on Ashby","value":"https://jobs.ashbyhq.com/hackerone/ba577aad-d2c1-4467-9a97-14ddcc11759b"}],"postedAt":"2026-07-20T21:00:01.826Z","expiresAt":"2026-08-19T00:00:00.000Z","aiInfrastructure":["PyTorch","TensorFlow"],"techStackTags":["AWS","Docker","GraphQL","Kubernetes","React","Ruby on Rails"],"agenticFrameworks":["AutoGen","Semantic Kernel"],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":false,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#7c7c7c","vibrant":"#7f7f7f","darkMuted":"#3c3c3c","lightMuted":"#cccccc","darkVibrant":"#424242","lightVibrant":"#bcbcbc"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":3,"impressionCount":0,"slug":"hackerone-staff-software-engineer-applied-ai-nNizmw","isFresh":true,"featured":false},{"title":"Staff Software Engineer, Agentic Platform","companyName":"Docker","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://docker.com&size=128","companyWebsite":"https://www.docker.com","description":"Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
\nWe are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
\nJoin Docker's Agentic Platform team to build the foundational infrastructure powering the next generation of AI-driven workflows. Intelligent agents are rapidly becoming the primary interface between developers and complex systems and we're building the platform that makes them reliable, scalable, and observable at production scale.
\nYou'll be working on the core agent execution runtime, orchestration primitives, and the cloud infrastructure that keeps the Agentic Platform running 24/7. This is a high-ownership role: you won't just build systems, you'll run them, respond when they fail, and drive continuous improvement across the stack.
\nThis is a greenfield opportunity to shape how agents are built and operated at scale. You'll work alongside seasoned engineers, collaborating with partner teams across AI infrastructure, developer experience, and platform reliability.
\nPlease note: for this role, we are prioritizing candidates who currently live in Seattle, WA Metro Area.
\nAGENT WORKFLOW & ORCHESTRATION
\nCLOUD INFRASTRUCTURE & SERVICE OWNERSHIP
\nTECHNICAL LEADERSHIP
\nQUALIFICATIONS FOR THIS ROLE
\nDocker considers visa sponsorship on a case-by-case basis based on business needs.
\nPerks
\nDocker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
\n#LI-REMOTE
","location":"Seattle, WA","city":"Seattle","locationType":"hybrid","employmentType":"full-time","seniority":"staff","salaryMin":170350,"salaryMax":275550,"salaryCurrency":"USD","applyMethods":[{"type":"url","value":"https://jobs.ashbyhq.com/docker/348e2a4c-f794-4106-8c36-bb313ff15819"}],"postedAt":"2026-07-20T21:00:01.826Z","expiresAt":"2026-08-19T00:00:00.000Z","aiInfrastructure":["MCP"],"techStackTags":["AWS","Docker","Go","Helm","Kubernetes","PostgreSQL","Python","Redis","Rust","Terraform"],"agenticFrameworks":[],"geoRegion":"us","countries":["US"],"remoteScope":"hybrid","visaSponsorship":true,"sourceType":"curated","aiBudget":null,"brandColors":{"muted":"#0b388d","vibrant":"#1c64ec","darkMuted":"#0b388d","lightMuted":"#0b388d","darkVibrant":"#0a317a","lightVibrant":"#84abf4"},"viewCount":0,"featuredAt":null,"featuredUntil":null,"featuredRenewalCount":0,"clickCount":2,"impressionCount":0,"slug":"docker-staff-software-engineer-agentic-platform-qrUFPm","isFresh":true,"featured":false},{"title":"Software Engineer, AI Workflows","companyName":"Notion","companyLogoUrl":"https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://notion.so&size=128","companyWebsite":"https://www.notion.so","description":"Who We Are
Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
\nNotion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
\nIn-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
\nWe're looking for an AI Product Engineer to join the team responsible for Notion's Custom Agents — which help teams automate their recurring workflows like filing tasks, writing reports, and answering questions in a knowledge base. As an AI Product Engineer, you'll help define and build cutting-edge AI-powered features into this core product experience, leveraging LLMs, embeddings, and other AI technologies to make Notion's Custom Agents more intelligent, capable and reliable at scale.
\nWe hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
\nNotion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
\nNotion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $213,000- $334,000 per year.
\nBy clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144.
\n#LI-Onsite
A Note on AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
Equal Opportunity & Accommodations
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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