About the Team

API Agents builds the shared agent harness, tools, and infrastructure that turn OpenAI's frontier models into systems that can reliably complete real work. We carry the capabilities behind Codex into a much broader set of products and workflows across software engineering, research, finance, healthcare, enterprise operations, and more. Our work spans search and connected context, computer use, memory, delegation and multi-agent coordination, and safe execution. Sitting at the intersection of Research, Codex, infrastructure, and applied product teams, we build reusable agent capabilities that compound across the ecosystem.

About the Role

We are looking for an experienced backend software engineer to build the core systems behind the next generation of agents. You will 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. The role combines deep backend and infrastructure work with strong product judgment, with opportunities to work across agent runtimes, orchestration, search, execution environments, identity and permissions, observability, and evaluations. This is software and systems engineering rather than model training: success comes from strong backend fundamentals, high agency, and the ability to turn fast-moving research capabilities into dependable production primitives.

In this role, you will:

• Design, build, and operate the shared agent harness and backend infrastructure that power long-running, high-value workflows across OpenAI and third-party products.
• Build reusable capabilities across search and connected context, computer use, memory, tool execution, delegation, subagents, and multi-agent orchestration.
• 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.
• 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.

Your background might look something like:

• 7+ years of professional engineering experience, excluding internships, in relevant backend, infrastructure, platform, or product-driven engineering roles.
• Exceptional backend engineering fundamentals and a track record of leading complex systems from ambiguous problem statements to reliable production services.
• Proficiency in one or more backend languages such as Python, Go, Rust, TypeScript, or similar, with the ability to move comfortably across service, platform, and product boundaries.
• Strong systems design and operational judgment across distributed systems, APIs, workflow orchestration, search or storage, compute and execution, identity and permissions, or observability and reliability.
• Infrastructure depth paired with product judgment: you can abstract complex systems into simple, durable primitives that other engineers and developers can build on.
• Strong developer empathy and communication skills, including experience partnering with users, research teams, and product engineers to make fast-moving capabilities useful and dependable.
• High agency and comfort operating in a fast-moving environment, with strong ownership of security, reliability, and operational excellence.