Airbyte
Senior Backend Engineer, Agent Infrastructure
$196K–$235K
San Francisco · Hybrid · Senior · Full-time · Posted Oct 28, 2026
- Experience
- 7+ years of software engineering experience building and operating production systems.
About the job
Build Airbyte’s production AI-agent runtime for orchestrating workflows, retrieving enterprise context, connecting tools, and ensuring reliable, permission-aware execution.
What you'll do
- Design orchestration, state management, retries, and failure handling for multi-step agent workflows.
- Build context retrieval, entity resolution, connector orchestration, evidence-backed answers, permissions, and evaluation and observability systems.
- Own features end to end, from prototype and architecture through production rollout and iteration.
What they ask for
- Strong backend engineering fundamentals and distributed-systems design experience.
- Experience building complex systems involving APIs, asynchronous workflows, concurrency, queues, state, retries, or distributed execution.
- Hands-on experience building production applications using LLMs, agents, RAG, tool calling, MCP, or similar technologies.
- Strong system design skills, including reasoning about reliability, scale, observability, and failure modes.
Nice to have
- Experience building agent infrastructure, agent platforms, or evaluation systems.
- Familiarity with orchestration technologies such as LangGraph, Temporal, MCP, or similar.
Pay
$196K – $235K USD base salary
Tools
LLMs, RAG, MCP, LangGraph, Temporal, Kafka, Iceberg, Postgres
AI focus
Build production infrastructure for AI agents, including orchestration, retrieval, tool use, evidence-backed outputs, permissions, and reliability.
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