Base Salary
$196k - $255k/yr
Responsibilities
- Design and implement orchestration for converting natural-language intent into reliable execution.
- Build entity resolution, context assembly, connector orchestration, evidence retrieval, routing, and reusable Skills systems.
- Develop evidence-backed reasoning with visible citations and traceability.
- Implement evaluation frameworks, permission models, freshness validation, and action policies.
- Own features end-to-end from runtime capabilities through user-facing experiences.
- Prototype, validate, and iterate rapidly with customers while maintaining production-grade reliability.
- Collaborate with Product, Design, Sales Engineering, and Customer Success to deliver production systems.
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 fundamentals in 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 operating in ambiguous environments.
- Exceptional written communication skills and a strong bias toward ownership and shipping.
- Preferred experience building AI agents or agent frameworks, including evaluation systems.
- Preferred familiarity with LangGraph, Temporal, MCP, or similar orchestration frameworks.
- Preferred experience with retrieval systems, vector search, knowledge graphs, developer tools, platform infrastructure, Kafka, Iceberg, Postgres, Spark, or modern data warehouses.
Benefits
- Onsite four days per week in San Francisco, California.
- Flexible PTO with a culture encouraging at least 25 days off annually.
- 16 weeks of 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 the San Francisco office.
Categories
About Airbyte
Founded in 2020, Airbyte is the context layer for production-grade AI agents. AI agents fail in production for one reason: they can't see the business. They make scattered API calls at runtime, burn tokens reconciling fragmented data, and break under real workloads. Airbyte solves this by giving agents unified, permission-aware access to the operational data scattered across the tools companies actually run on (CRM, billing, support, product, internal systems) through a hybrid architecture that combines large-scale replication (for cross-system search and discovery) with real-time fetching (for fresh operational state). It's the combination production agents actually need, built on the connector footprint we've hardened over six years. We've raised $181M from Benchmark, Accel, Altimeter, Coatue, Y Combinator, and others. Today, 25,000+ companies sync data with Airbyte's 600+ connectors. Open source remains core to how we build, because the data foundation under your AI agents is too important to be a black box.