Software Engineer, API Agents

OpenAI OpenAI · AI Frontier · San Francisco, CA · Core Product & Platform

Software Engineer role focused on building the core backend systems and infrastructure for AI agents at OpenAI. This involves designing and operating services for context retrieval, tool use, memory, coordination, and safe execution, enabling agents to perform complex workflows. The role emphasizes backend and systems engineering, product judgment, and translating research into production primitives.

What you'd actually do

  1. Design, build, and operate the shared agent harness and backend infrastructure that power long-running, high-value workflows across OpenAI and third-party products.
  2. Build reusable capabilities across search and connected context, computer use, memory, tool execution, delegation, subagents, and multi-agent orchestration.
  3. Establish the foundations agents need to operate safely in production, including secure execution environments, identity and permissions, observability, evaluations, reliability, and cost and latency efficiency.
  4. Partner with Research, Codex, infrastructure, applied product teams, and external developers to translate model progress, traces, evaluations, and real workflow needs into shared capabilities and measurable gains in task completion, cost, and latency.

Skills

Required

  • backend software engineering
  • distributed systems
  • API design
  • workflow orchestration
  • search or storage
  • compute and execution
  • identity and permissions
  • observability
  • reliability
  • Python
  • Go
  • Rust
  • TypeScript

Nice to have

  • product judgment
  • developer empathy
  • communication skills

What the JD emphasized

  • 7+ years of professional engineering experience
  • Exceptional backend engineering fundamentals and a track record of leading complex systems from ambiguous problem statements to reliable production services.
  • Strong systems design and operational judgment
  • Infrastructure depth paired with product judgment
  • High agency and comfort operating in a fast-moving environment, with strong ownership of security, reliability, and operational excellence.

Other signals

  • builds shared agent harness, tools, and infrastructure
  • design reliable services and abstractions that help agents find the right context, use tools and computers, retain knowledge, coordinate over long-running workflows, and take action safely
  • translate model progress, traces, evaluations, and real workflow needs into shared capabilities and measurable gains in task completion, cost, and latency