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Open nowPosted 181 days ago

AI平台研发工程师（智能体系统方向）

wcn7iq2vq1am/86371186 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen nowAI平台研发工程师（智能体系统方向）wcn7iq2vq1am/863711 · Shanghai, Chinese Mainland

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. wcn7iq2vq1am/863711 postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 181 days ago

wcn7iq2vq1am/863711 median: 1 days open

The posting

关于岗位 在这个岗位上，你将为公司构建内部的智能体（Agent）与大语言模型基础设施，让 LLM、Coding Agent、工具链真正成为整个团队的生产力底座，而不是停留在 demo 级别的玩具。 这个岗位不专注于训练基础模型，而是专注于系统、服务和开发者工作流：把快速演进的 LLM / Agent / Coding Agent / MCP 生态，落地成公司内部可靠、可复用、可演进的平台能力，帮助研究员、工程师和其他职能团队在日常工作中真正用上这些工具。 这是一个高度跨职能的岗位。你会与研究、工程、HR、行政等团队协作，构建共享服务、智能体工作流和轻量的平台基础设施，并随着公司规模和业务持续演进。

主要职责 - 内部 AI 服务与基础设施建设：围绕 LLM、Coding Agent、工具化系统（tool-using systems），建设并维护公司内部的 AI 服务与开发者基础设施 - 共享智能体工作流：设计并落地研究员、工程师在编程、研究、评测、调试、内部知识访问等场景下都能稳定依赖的 Agent 工作流 - 服务化工程：承担模型路由、工具集成、工作流编排、可观测性、可靠性、开发者体验等典型平台工程问题 - 生态跟进与内化：评估外部 Agent 框架、Coding Agent、记忆系统等基础设施，把最有价值的想法沉淀到内部平台和工作流中 - 跨团队 AI 能力产品化：将内部 AI 能力从原型推向生产，支持研究、工程、招聘、行政等多场景使用 - 高杠杆工具识别：与研究和工程负责人紧密合作，识别高杠杆的内部工具机会，把它们变成实实在在的系统

  • 本科及以上学历（计算机、软件工程或相关方向）
  • 扎实的软件工程基本功，具备生产级后端系统、内部平台或开发者基础设施的建设和维护经验
  • 精通 Python，能在服务与基础设施层游刃有余
  • 有面向真实用户的内部工具、开发者工作流、后端服务或 AI 应用的交付经验
  • 熟悉现代 LLM 应用模式：tool use、工作流编排、Prompt 工程、评测、生产环境集成
  • 具备清晰的产品 / 工程判断力：能够区分"有趣的 demo"和"真正让团队加速的基础设施"
  • 能够在高度不确定的环境中快速推进，学习新系统速度快，愿意和研究、工程一线高密度迭代

加分项（Preferred） 🛠️ 工程 / 生态经验 - 有现代 Coding Agent 或 Agent 框架的实战经验（Claude Code、Codex、Cursor、OpenHands、LangGraph 等） - 有 LLM Serving / 推理路由 / AI 平台基础设施经验（vLLM、SGLang、模型网关、多模型路由等） - 有开源 AI 工具链或基础设施项目贡献经历 - 有将 AI 系统与机器人、具身智能或研究工程环境结合的跨领域经验 - 熟悉 MCP、Tool-call 协议及 Agent 工具生态

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