Senior AI Platform Engineer

About the Company

Airbyte is the data and action layer for AI agents, providing fast, accurate, and authenticated access to business data across hundreds of sources. Founded in 2020, Airbyte has raised $181M to build the context infrastructure required for production-grade agents.

Responsibilities

• Design and implement the orchestration layer for the AI Runtime to turn 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.
• Own features end-to-end, from runtime capability to user-facing experience.
• Develop evidence-backed reasoning with citations and traceability.
• Build evaluation frameworks and implement permission models, freshness validation, and action policies.
• Rapidly prototype, validate ideas, and iterate with customers.

Requirements

• 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 exceptional written communication skills.

Preferred Qualifications

• Experience building AI agents or agent frameworks, including evaluation systems.
• Familiarity with orchestration frameworks like LangGraph, Temporal, or MCP.
• 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.

Benefits

• Flexible PTO (culture encourages at least 25 days off annually)
• 16 weeks fully paid parental leave
• Comprehensive medical, dental, and vision coverage
• 401(k) retirement plan
• Professional development budget, conference sponsorship, and book reimbursement
• Commuter benefits and monthly internet reimbursement
• Breakfast and lunch in the San Francisco office