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Senior Backend Engineer, Agent Infrastructure

Airbyte· Engineering
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Hybrid (San Francisco)$196k - $235kFull-timePosted 3mo ago

About the role

Airbyte is building the runtime that powers production-grade AI agents. This role focuses on designing and implementing the orchestration and infrastructure that enable reliable, evidence-backed agent execution, integrating enterprise context, connectors, and LLM-powered workflows.

Responsibilities

  • Design and implement the orchestration layer that turns natural-language intent into reliable, multi-step execution.
  • Build systems for routing, state management, retries, failure handling, and long-running agent workflows.
  • Develop systems for entity resolution, context assembly, connector orchestration, and evidence retrieval.
  • Build reusable Skills that encapsulate business workflows and domain-specific capabilities.
  • Coordinate connectors, APIs, tools, deterministic logic, retrieval systems, and multiple language models.
  • Design systems that retrieve and assemble the right enterprise context at runtime.
  • Build evidence-backed reasoning with citations and traceability that users can inspect and verify.
  • Implement permission models, freshness validation, and action policies for production environments.
  • Build evaluation, replay, observability, and debugging systems that help us understand why agents succeed or fail.
  • Improve the reliability of systems where model outputs may be probabilistic, but execution cannot be.
  • Take ambiguous product ideas from prototype through production.
  • Own features across architecture, implementation, rollout, and iteration.
  • Work with Product, Design, Sales Engineering, Customer Success, and customers to understand real-world problems.
  • Write high-leverage code that creates reusable infrastructure for future product areas.
  • Experiment with new agent architectures while maintaining production-grade reliability.

Qualifications

  • 7+ years of software engineering experience building and operating production systems.
  • Strong backend engineering fundamentals and experience designing distributed systems.
  • Experience building complex systems involving APIs, asynchronous workflows, concurrency, queues, state, retries, or distributed execution.
  • Hands-on experience building production applications using LLMs, agents, RAG, tool calling, MCP, or similar technologies.
  • Experience with orchestration systems, workflow engines, developer platforms, or infrastructure products.
  • Strong system design skills and the ability to reason about reliability, scale, observability, and failure modes.
  • Ability to move quickly from prototype to production without sacrificing engineering quality.
  • Strong product instincts and comfort operating in ambiguous, 0-to-1 environments.
  • Exceptional written communication skills.
  • A strong bias toward ownership and shipping.

Skills

Required:Backend engineeringAPI design and integrationOrchestration and workflow enginesProduction AI systemsSystem design

Benefits

  • Flexible PTO with 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
  • Collaborative, in-person culture focused on learning, growth, and impact
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About Airbyte

Open Data Movement Platform

Airbyte is the leading open data movement platform that empowers data teams in the AI era by transforming raw data into actionable intelligence. With the largest catalog of over 350 connectors, it offers low-code, no-code, and AI-powered connector development, and provides flexible deployment options across self-hosted, cloud, and hybrid environments. https://github.com/airbytehq/airbyte

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