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Open nowPosted 145 days ago

AI赋能工程师

guanghe/ycsz51 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI赋能工程师guanghe/ycsz · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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

  4. CV RocketApplied on guanghe/ycsz'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 145 days ago

The posting

1. Skill工程化（40%） - 与各业务TL深度协作，将优秀业务方法论固化为可复用的AI Skill - 设计Skill的输入输出Schema、质检规则、异常处理机制 - 建立并维护团队Skill库，确保Skill可稳定运行 2. AI基础设施（30%） - 搭建和维护RAG知识库（行业报告、竞品数据、内部SOP等） - 模型选型与成本控制：持续测试新模型，在保证质量前提下降低token消耗 - 建立质检标准（如CriticSkill打分机制），确保AI产出质量稳定 3. 培训与普及（20%） - 为业务团队提供AI工具使用培训，降低使用门槛 - 编写使用文档、最佳实践指南 - 收集用户反馈，持续优化工具体验 4. 效果监控（10%） - 监控团队AI使用率、产出质量、成本消耗 - 定期向管理层汇报AI落地进展

- 有市场/运营/产品等业务背景（至少1-2年），理解营销策略、用户研究等业务逻辑 - 熟练使用主流AI工具（Codex、Claude等），有Prompt Engineering经验 - 有Python基础，能进行API调用和数据处理 - 良好的结构化思维能力，能将模糊的业务经验转化为清晰的工程规则 加分项： - 有LangChain、OpenClaw等Agent开发框架使用经验 - 有RAG知识库搭建经验 - 有教育行业背景 - 有技术+业务复合背景（如产品背景+AI开发经验） 核心素质： - 业务敏感度：能快速理解业务TL的经验价值，判断哪些值得工程化 - 工程化思维：不满足于"能跑通"，追求"可复用、可维护、可扩展" - 服务意识：定位是"赋能"而非"交付"，帮助业务团队成功而非抢功劳 - 持续学习：AI领域变化快，需要主动跟进新模型、新方法

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