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Open nowPosted 501 days ago

AI应用开发工程师

qmai/experienced13 open roles

Where
Hefei, Anhui, Chinese Mainland
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Your applicationOpen nowAI应用开发工程师qmai/experienced · Hefei, Anhui, Chinese Mainland

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on qmai/experienced's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 501 days ago

The posting

职位描述： 1. 参与公司 AI 应用项目的开发与落地，围绕真实业务场景接入大模型、Agent、知识库、AI Copilot 等能力，推动 AI 在产品或内部效率场景中产生实际效果； 2. 承接 AI 可介入场景的具体开发任务，覆盖智能问答、数据分析、智能客服、研发提效、智能运维等方向，推动从方案验证到上线使用的闭环； 3. 负责 AI 应用的关键模块开发，包括模型接入、Prompt 设计、工具调用（Function Calling）、RAG 知识库搭建、权限控制、结果校验与效果评估等； 4. 配合产品、研发、测试和业务团队，按目标交付 AI 项目，能在模块层面独立推进、对效果负责； 5. 参与业务系统日常开发与维护，解决实际工程问题。

任职要求： 1. 本科及以上学历，3 年以上后端或全栈开发经验； 2. 有 AI 应用开发经验（个人项目/内部工具/上线功能均可），能说明自己负责的模块做了什么、解决了什么问题，不要求必须是大型上线项目； 3. 了解大模型应用架构，熟悉以下至少 3 项：Agent、RAG、Function Calling、Prompt Engineering、MCP、多 Agent 协作； 4. 工程能力扎实，熟悉 Java / Python / Go / Node.js 中至少一种，能独立完成接口开发与联调； 5. 熟悉常用基础技术：数据库、缓存、消息队列、ES 等，了解分布式系统基本概念； 6. 有良好的协作与沟通能力，能在小组内独立推进模块交付； 7. 对 AI Native 应用有自己的理解，能判断哪些场景适合用 AI，关注效果、成本和风险。 加分项（非必须）： - 有 RAG 知识库、Agent、Function Calling 的实际上手经验。 - 有 LangGraph / OpenAI Agent SDK / DeepAgents 的实际上线或落地经验，能讲清编排逻辑与踩坑点 - 有大模型 API 接入、Prompt 调优、效果评测的实践经验。

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