airbyte · San Francisco
Skills: SQL
ABOUT AIRBYTE: We’re on a mission to make data available and actionable to everyone, everywhere. With 700+ connectors, our platform powers analytics and gives AI agents the business context they need to do real work. More than 25,000 companies, including 20% of the Fortune 500, rely on Airbyte to put their data to work. We’re built on open source because we believe companies should have full control over their data. A community of 27K members helps shape what we build, and we’re backed by $181M from investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. Models keep getting better. What holds AI back is the data informing and shaping its decisions, and that's the layer we're building. We’re just getting started. If you’re excited by big challenges, meaningful ownership, and the chance to help build what’s next, we’d love to meet you. THE ROLE: Airbyte is building the runtime that powers production-grade AI agents. 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. Our AI Runtime sits between language models and the enterprise systems agents need to understand and act on. It is responsible for assembling the right context, identifying entities across systems, selecting tools and connectors, coordinating execution, validating evidence, enforcing permissions, and handling failures safely. A user may ask something simple like: - “Investigate this customer and tell me what changed.” Behind that request, the runtime may need to identify the customer across multiple systems, retrieve fresh data, determine which tools to call, coordinate multiple steps, validate the result, and return an answer with evidence the user can trust. That infrastructure is what you’ll help build. We’re still early. The architecture is taking shape, but there is significant r…
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