Airbyte
AI Platform Engineer
About this role
Airbyte is seeking an AI Platform Engineer to build the runtime infrastructure that powers trustworthy AI agents, enabling them to reason over enterprise context, retrieve evidence, and execute actions safely. You'll design orchestration layers, entity resolution systems, and user-facing experiences that make AI agents reliable and auditable for enterprise use.
What you'll do
- Design and implement the orchestration layer that translates natural-language intent into reliable execution across multiple systems
- Build entity resolution, context assembly, connector orchestration, and evidence retrieval systems
- Develop reusable Skills that encapsulate business workflows and domain expertise
- Create routing systems that intelligently coordinate connectors, tools, and language models
- Own features end-to-end from runtime capability through user-facing experience and evaluation frameworks
- Collaborate with Product, Design, and Sales Engineering to rapidly prototype, validate, and iterate with customers
What they're looking for
- Distributed systems and backend architecture
- AI/LLM application development (agents, RAG, MCP, modern frameworks)
- API design and system architecture
- Orchestration systems or workflow engines
- Concurrency and testing practices
- Software prototyping with production-grade quality
- Product thinking and ambiguity navigation
- Written communication
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Airbyte
Airbyte builds data integration connectors and platforms that help move data between systems. The company is hiring developers with database expertise to support customers, develop connectors in Java/Kotlin, and bridge customer needs with engineering.
View all jobs at AirbyteLikely interview questions
- Describe your experience building AI agents or orchestration systems—what was the most complex routing or entity resolution problem you solved?
- How have you balanced rapid prototyping with production reliability in a fast-moving environment?