--- title: 'AI Platform Engineer at Airbyte' canonical: 'https://feeny.ai/job/ai-platform-engineer-airbyte-san-francisco-rkcjgemmf3zg' type: 'job' last_seen: '2026-09-10' --- # AI Platform Engineer at Airbyte - **Company:** Airbyte - **Location:** San Francisco, CA - **Compensation:** $196k–$255k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-21 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/airbyte/b59bbc91-fb77-4a08-9c47-0fca7f755942/application **Skills:** Java, Python, Distributed systems, Backend architecture, LLMs, Agents, RAG, MCP, APIs, Concurrency, Testing, System design, Workflow engines, Orchestration systems, LangGraph, Temporal, Vector search, Knowledge graphs, Kafka, Iceberg > Build the AI runtime infrastructure that powers trustworthy AI agents, including orchestration, entity resolution, and evidence retrieval. Design systems for context assembly, connector orchestration, and user-facing experiences while ensuring production-grade reliability and trust. ## Job description Airbyte is the data and action layer for AI agents. We give agents fast, accurate, authenticated access to business data across hundreds of sources, so they can discover the entities that matter, reason over real-time context, and take action in the systems they read from, not just observe them. We started as the open-source standard for data movement and proved the economics of data integration at scale: hundreds of connectors, thousands of companies, and, since 2020, have raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. As our CEO Michel Tricot puts it, "the last ten years were all about structured data. The future is all about context." We're now building that context infrastructure for production-grade agents on the same open foundation, as agents become the primary consumers of enterprise data. Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents. The Role: Airbyte is building the runtime that powers trustworthy AI agents. We believe the future isn't simply giving LLMs access to APIs, it's building the infrastructure that allows agents to reason over enterprise context, retrieve evidence, invoke actions safely, and explain every decision they make. We're building the AI Runtime that sits between language models and enterprise systems. Our runtime resolves entities across hundreds of business systems, assembles the right context, chooses the appropriate connectors and skills, validates evidence, enforces permissions, executes actions safely, and returns responses users can trust. The interface is becoming dramatically simpler: "Investigate this customer and tell me what changed." Behind that simple request is an intelligent runtime responsible for orchestration, routing, retrieval, evaluation, evidence generation, permissions, and action policies. We're early. The architecture is taking shape but there's enormous room to define how this works. You'll help build both the runtime infrastructure and the user-facing experiences that make it real. What You’ll Do: Build the AI Runtime - Design and implement the orchestration layer that turns natural-language intent into reliable execution. - Build systems for entity resolution, context assembly, connector orchestration, and evidence retrieval. - Develop reusable Skills that encapsulate business workflows and domain expertise. - Build routing systems that intelligently coordinate connectors, tools, deterministic logic, and multiple language models. Build Products Users Trust - Own features end-to-end, from runtime capability to user-facing experience. - Develop evidence-backed reasoning with citations and traceability that users can actually see and verify. - Build evaluation frameworks that continuously improve quality. - Implement permission models, freshness validation, and action policies that work transparently for end users. Ship and Iterate - Build prototypes, validate ideas, and rapidly iterate with customers. - Write high-leverage code that enables entire product areas. - Collaborate closely with Product, Design, Sales Engineering, and Customer Success to turn ambitious ideas into production systems. - Experiment with new agent architectures while maintaining production-grade reliability. What You’ll Need: - 7+ years of software engineering experience building production systems. - Deep understanding of distributed systems and backend architecture. - Experience building AI applications using LLMs, agents, RAG, MCP, or modern AI frameworks. - Strong software engineering fundamentals including APIs, concurrency, testing, and system design. - Experience building developer platforms, orchestration systems, or workflow engines. - Ability to rapidly prototype while maintaining production quality. - Strong product instincts and comfort operating in ambiguous environments. - Exceptional written communication skills. - A bias toward ownership and shipping. Nice To Have: - Experience building AI agents or agent frameworks, including evaluation systems. - Familiarity with orchestration frameworks (LangGraph, Temporal, MCP, or similar). - Experience with retrieval systems, vector search, or knowledge graphs. - Experience building developer tools or platform infrastructure. - Experience with data infrastructure including Kafka, Iceberg, Postgres, Spark, or modern data warehouses. What Success Looks Like: Success isn't measured by the sophistication of the prompts. It's measured by whether the runtime becomes more trustworthy every week. You'll build systems that: - Automatically assemble the right context and choose the correct connectors and Skills. - Produce evidence-backed answers with citations. - Enforce permissions and freshness guarantees. - Learn from failures through replay and evaluation. - Allow users to ask once and receive a trusted answer. As our runtime evolves, users should think less about tools and more about outcomes. The runtime should handle the rest. Why This Role Matters: Every company will soon have AI agents. Most will struggle with trust. Agents need more than models: they need context, evidence, permissions, orchestration, and reliable execution. Airbyte is building that runtime. If we succeed, every AI agent built on Airbyte will inherit those capabilities automatically, allowing developers to focus on solving business problems instead of rebuilding infrastructure. Location: - Onsite 4 days/week in San Francisco, CA Why You'll Love Working at Airbyte: At Airbyte, we believe great work happens when people feel supported, trusted, and empowered to grow. Our market-leading Total Rewards package is designed to help you thrive professionally and personally. Our benefits and perks include: - Flexible PTO with a culture that encourages at least 25 days off annually - 16 weeks fully paid parental leave for all parents - Comprehensive medical, dental, and vision coverage for employees and dependents - 401(k) retirement plan - Professional development budget, conference sponsorship, and book reimbursement - Commuter benefits and monthly internet reimbursement - Breakfast and lunch in our San Francisco office - A collaborative, in-person culture focused on learning, growth, and impact If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements! We are not accepting agency submissions or recruiting firm support for this role. Unsolicited resumes will not be considered. Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability. ## About Airbyte ## Company Overview - **One-liner**: Airbyte provides the context layer for production-grade AI agents, enabling them to reason across live enterprise data through a unified, queryable Context Store. - **Entity Type**: Private (Series B; Total Funding: $181.3M) - **Headquarters**: San Francisco, California, United States - **Founded**: 2020 - **Founders**: Michel Tricot (CEO), Jean Lafleur (COO) ## Core Business - **Primary industry**: Data Integration & AI Context Infrastructure (Software Development) - **Target customers**: B2B; serving data teams, AI/ML engineers, and enterprise organizations (25,000+ companies, including 20% of the Fortune 500). - **Mission statement**: “Make data available and actionable to everyone, everywhere.” ## Products & Services - **Airbyte Cloud**: Fully managed, cloud-hosted ELT platform that syncs data from 600+ connectors to data warehouses, lakes, and other destinations. - **Airbyte Enterprise (Self-Managed)**: Deploy Airbyte within the customer’s own cloud environment (VPC) for maximum security and compliance. - **Airbyte Agents (Context Layer)**: A new product providing a queryable Context Store that gives AI agents unified, permission-aware access to operational data across CRM, billing, support, product, and internal systems—without stitching APIs at runtime. - **Connector Builder & PyAirbyte**: Tools and SDKs for building custom connectors quickly, including an open-source library (PyAirbyte) for Python-based data pipeline orchestration. ## Market Standing - **Valuation**: Not publicly disclosed (raised $181.3M from top-tier investors). - **Key Metric**: Total Funding of $181.3M. - **Notable Investors**: Benchmark (led Series A), Accel, Altimeter Capital, Coatue Management, Y Combinator. - **Growth Signals**: - Platform scaled to handle billions of records daily. - Open-source community: 1,300+ contributors, 20,000+ GitHub stars. - Customers include Rakuten, 1Password, Nebius; 20% of the Fortune 500 uses Airbyte. - Pivot into AI agent context infrastructure positions the company at the forefront of a major market shift. ## Competitive Advantages - **Massive connector footprint**: 600+ pre-built connectors (and growing), covering the long tail of data sources that no single vendor can support. - **Hybrid architecture**: Combines large-scale replication (for cross-system search and discovery) with real-time fetching (for fresh operational state)—purpose-built for production AI agents. - **Open-source core**: Community-powered connector maintenance and innovation; reduces vendor lock-in and ensures transparency. - **Top-tier investor backing**: Access to capital and strategic guidance from Benchmark, Accel, Coatue, and others. ## Strategic Focus - **Pivot to AI**: Expanding from a pure data replication platform to “context infrastructure” for AI agents. The mission is now to serve agents as primary consumers of enterprise data, not just analysts and dashboards. - **Product development**: Heavy investment in Airbyte Agents and the context layer, with plans to make the platform faster, more reliable, and more deeply integrated into AI workflows. - **Enterprise adoption**: Scaling sales and go-to-market engine to capture the enterprise market (Jean Lafleur, COO, leads this effort). - **Open-source sustainability**: Maintaining a vibrant contributor community while building a commercial product that sits on top. ## Why Work Here - **Culture**: Named one of Built In’s Best Startup Places to Work. Emphasis on “experimentation, adaptation, and a relentless drive to deliver impactful solutions.” Employee-led Diversity Network Groups (Women at Airbyte, Airbyte Pride, LatinX & AAPI). - **Working model**: In-office collaboration in San Francisco (FiDi) four days a week. The company believes in the value of in-person work for culture, collaboration, and innovation. - **Engineering culture**: Open by default; heavy contributor community; engineering-led product (45% of staff in technical roles). Opportunities to work on cutting-edge problems at the intersection of data and AI. - **Benefits**: - Comprehensive health, dental, and vision coverage (employer-sponsored). - 16 weeks fully paid parental leave (all genders/paths to parenthood). - Unlimited vacation policy (encouraged minimum of 25 days off per year, including holidays). - 401(k) retirement plan for U.S. employees. - Pre-tax commuter FSA with company contribution (SF HQ). - Professional development: book reimbursements, conference sponsorships, internal growth culture. - **Team**: ~100 employees (slight contraction over the past year). Leadership team is strong: Michel Tricot (CEO, ex-LiveRamp), Jean Lafleur (COO, serial entrepreneur), Davin Chia (CTO). Senior talent sourced from LiveRamp, Datadog, Grafana, Splunk, Elastic, New Relic. ## Sources 1. [airbyte.com](https://airbyte.com/) 2. [airbyte.com/company/about-us](https://airbyte.com/company/about-us) 3. [airbyte.com/company/careers](https://airbyte.com/company/careers) 4. [linkedin.com/company/airbytehq](https://br.linkedin.com/company/airbytehq) 5. 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