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ExperiencedAI

Software Engineer, Agent Platform

OpenAI · San Francisco

Posted Nov 5, 2026 · full time

Est. total comp~$201K–$317K

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From the posting

About the Team

The Agent Platform team at OpenAI builds the production systems that bring useful AI agents to users around the world. We provide the platform that enables agents to execute code, use tools, and interact with software reliably and securely at scale.

We work closely with product, research, and infrastructure teams to turn new agent capabilities into dependable product experiences. Our work spans the execution environments, APIs, and integrations that support agentic products such as Codex and tool use in ChatGPT.

We focus on how agents run in production: making it easy to launch new capabilities, supporting growing demand, and improving the performance and reliability of the systems behind user experiences.

Some of the hardest problems in making agents useful emerge when they meet real-world workloads. We build the platform that helps agents handle those workloads safely, recover when things go wrong, and deliver consistent results.

About the Role

As a Software Engineer on the Agent Platform team, you will build and scale the services that power agentic products at OpenAI. You’ll work closely with product engineers, researchers, and infrastructure engineers to bring new capabilities from early prototypes to production.

Your work will include designing APIs and services, improving agent execution and orchestration, and building the integrations needed to support increasingly capable agents. …

Excerpt from OpenAI's public job board. Read the full posting.

Job inventory

Required 1 item

Skills and tools: Terraform

Preferred none listed in the text we have

Also in the posting: San Francisco, CA; Hybrid work model 3 days in office per week

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About this listing. Pulled automatically from OpenAI's public job board and refreshed daily; closed roles are removed. Mars Mining Co. is not the employer, does not take applications and does not screen candidates. Field and level labels come from the job title and can be wrong.

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About the pay figures (~): These are estimates. Yearly figures are estimated total comp ranges: the employer's posted pay range, or, with no posted pay, the median to 90th-percentile BLS wage for similar jobs, plus typical benefits and bonus, without stock. Hourly figures for internships and contract roles are posted rates or BLS hourly wage ranges. Figures outside the U.S. and for loosely matched titles are rough ballparks. How we estimate