AI Platform Engineer

Airbyte is the data and action layer for AI agents, providing fast, accurate, authenticated access to business data across hundreds of sources. We started as the open-source standard for data movement and have raised $181M from leading investors. We are building the AI Runtime that sits between language models and enterprise systems, enabling agents to reason over enterprise context, retrieve evidence, invoke actions safely, and explain decisions.

As an AI Platform Engineer, you will build the AI Runtime, including orchestration, entity resolution, context assembly, connector orchestration, evidence retrieval, and reusable Skills. You will own features end-to-end, from runtime capability to user-facing experience, and build evaluation frameworks, permission models, and action policies.

• 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 coordinate connectors, tools, deterministic logic, and multiple language models.
• Build evidence-backed reasoning with citations and traceability.
• Build evaluation frameworks that continuously improve quality.
• Implement permission models, freshness validation, and action policies.
• Ship prototypes, validate ideas, and iterate with customers.
• Collaborate with Product, Design, Sales Engineering, and Customer Success.

• 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 in ambiguous environments.
• Exceptional written communication skills.

• 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.

$196K – $235K plus equity.

• 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

Onsite 4 days/week in San Francisco, CA.

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.