Airbyte
Senior Backend Engineer, Agent Infrastructure
San Francisco · Senior
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Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- "Investigate this customer and tell me what changed."
- This is not an ML research or prompt engineering role.
- We're looking for an experienced backend or platform engineer who has built complex production systems and has also worked hands-on with AI agents, orchestration, retrieval, or LLM-powered applications.
Responsibilities
- Build the Runtime
- Design and implement the orchestration layer that turns natural-language intent into reliable, multi-step execution.
- Build systems for routing, state management, retries, failure handling, and long-running agent workflows.
- Develop systems for entity resolution, context assembly, connector orchestration, and evidence retrieval.
- Build reusable Skills that encapsulate business workflows and domain-specific capabilities.
- Build Reliable AI Infrastructure
- Design systems that retrieve and assemble the right enterprise context at runtime.
- Build evidence-backed reasoning with citations and traceability that users can inspect and verify.
- Implement permission models, freshness validation, and action policies for production environments.
- Build evaluation, replay, observability, and debugging systems that help us understand why agents succeed or fail.
Requirements
- Strong backend engineering fundamentals and experience designing distributed systems.
- Experience with orchestration systems, workflow engines, developer platforms, or infrastructure products.
- Ability to move quickly from prototype to production without sacrificing engineering quality.
Nice to have
- Familiarity with orchestration technologies such as LangGraph, Temporal, MCP, or similar.
- Experience with retrieval systems, vector search, search infrastructure, or knowledge graphs.
- Experience with data infrastructure such as Kafka, Iceberg, Postgres, Spark, or modern data warehouses.
- Experience working on early-stage products where you helped define architecture and technical direction.
- Success is not measured by the sophistication of the prompts.
- It is measured by whether the runtime becomes more reliable, observable, and trustworthy over time.
- Assemble the right context and choose the correct connectors, tools, and Skills.
- Execute multi-step workflows reliably.
Compensation
- Flexible PTO with a culture that encourages at least 25 days off annually
Benefits
- 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
- A collaborative, in-person culture focused on learning, growth, and impact
Company info
- 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.
Visa & Work Authorization
- Professional development budget, conference sponsorship, and book reimbursement
This listing is sourced directly from Airbyte's careers page and normalized into a canonical job model.