软件工程师，API前沿
Software Engineer, API Frontiers
关于团队
API Frontiers 将 OpenAI 的前沿模型转化为开发者可以用来构建可靠产品和代理的生产级 API。我们通过 Responses API 负责连接模型与开发者的核心路径，重点关注安全、可靠性和速度。与研究、安全、Codex 和其他 API 团队紧密合作，我们将新的模型能力投入生产，并通过开发者反馈进行改进。
关于职位
我们正在寻找一名后端软件工程师，负责构建和运营 Responses API 后端服务。你将定义 API 行为，将研究成果中的新功能投入生产，并使长期运行的代理工作流更加可靠和高效。这项工作结合了分布式系统工程与产品判断：设计有用的开发者接口，管理分阶段发布，并跟踪生产问题直至彻底解决。
在该职位中，你将：
- 设计、构建和运营将前沿模型能力带给开发者的 API 和后端服务。
- 与研究、安全、Codex 和 API 团队合作，定义 API 行为并交付安全的分阶段发布。
- 构建代理工作流的 API 功能，包括任务委派、上下文共享和并行执行。
- 提升长时间请求的可靠性，涵盖超时、取消、流式传输和后台执行。
- 通过性能分析、高效的系统代码和持久连接来提升请求处理性能和尾部延迟。
- 将开发者反馈和生产故障转化为更好的可观测性、诊断和持久的产品改进。
你的背景可能包括：
- 5 年以上在生产环境中构建和运营后端服务或面向开发者的 API 的经验。
- 扎实的软件工程基础，具备分布式系统、并发和异步执行的实际知识。
- 能够使用可观测性数据和性能分析来诊断生产故障和性能瓶颈。
- 具备产品判断力和开发者同理心，有将复杂功能转化为清晰、可靠的 API 的记录。
- 有从定义解决方案到交付和改进结果的模糊技术问题的主导经验。
- 在工程、研究、产品和安全等不同领域之间清晰沟通并有效协作的能力。
- 有 Rust、流协议或 WebSockets，或长期运行工作流系统的经验
查看英文原文
About the Team
API Frontiers turns OpenAI’s frontier models into production APIs that developers can use to build reliable products and agents. We own the core path connecting models to developers through the Responses API, with a focus on safety, reliability, and speed. Working closely with Research, Safety, Codex, and other API teams, we bring new model capabilities into production and improve them through developer feedback.
About the Role
We are looking for a backend software engineer to build and operate the services behind the Responses API. You will shape API behavior, bring new capabilities from research into production, and make long-running agent workflows dependable and fast. The work combines distributed systems engineering with product judgment: designing useful developer interfaces, managing staged rollouts, and following production issues through to durable fixes.
In this role, you will:
- Design, build, and operate APIs and backend services that bring frontier model capabilities to developers.
- Partner with Research, Safety, Codex, and API teams to define API behavior and deliver safe, staged launches.
- Build API capabilities for agent workflows, including task delegation, context sharing, and parallel execution.
- Strengthen long-running request reliability across timeouts, cancellation, streaming, and background execution.
- Improve request-processing performance and tail latency through profiling, efficient systems code, and persistent connections.
- Turn developer feedback and production failures into better observability, diagnostics, and lasting product improvements.
Your background might look something like:
- 5+ years of experience building and operating backend services or developer-facing APIs in production.
- Strong software engineering fundamentals, with practical knowledge of distributed systems, concurrency, and asynchronous execution.
- Ability to diagnose production failures and performance bottlenecks using observability data and profiling.
- Product judgment and developer empathy, with a track record of translating complex capabilities into clear, dependable APIs.
- Experience taking ownership of ambiguous technical problems, from defining an approach through shipping and improving the result.
- Clear communication and effective collaboration across engineering, research, product, and safety disciplines.
- Experience with Rust, streaming protocols or WebSockets, or long-running workflow systems is a plus.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.