Lenovo
From Lenovo's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
岗位职责
1. 独立负责 AI 产品或核心模块的技术方案设计与开发，推动需求分析、方案验证、工程实现、上线及持续迭代。
2. 负责办公场景大模型应用的开发落地工作，包括但不限于 Prompt 工程、LangChain 应用开发等。
3. 负责 Agent 的工程化治理，包括工具设计、权限边界、敏感信息处理、错误恢复、重试策略、上下文压缩、执行结果校验、可观测性和效果评估等。
4. 负责 AI Native 研发模式探索，基于 Vibe Coding、Skill 等能力建设，推动端到端 AI 开发流程，实现软硬一体的公司战略。
5. 深入理解用户需求和业务流程，运用工程能力最佳实践，完成价值判断、原型验证并推动产品化。
6. 与产品、算法、设计及业务团队紧密协作，拆解复杂问题、推动跨团队合作，并对交付质量和业务效果负责。
任职要求
1. 本科及以上学历，计算机、软件工程或相关专业优先，具备 5 年以上软件开发经验，优秀者可放宽年限要求。
2. 具备大模型应用开发经验，熟悉 Prompt 工程、LangChain、RAG、Agent Harness 等技术栈；具备完整 Agent 研发全流程能力，包括对话式编程、多文件编辑、代码改写、工具调用、任务执行、上下文管理、Memory等。
3. 熟练掌握 Python，具备良好的系统设计、面向对象设计、API 开发、数据处理和系统集成能力；熟悉 Java、Go、C# 或 C++ 者优先。
4. 主导或深度参与过生产级 AI 应用落地，能够独立负责核心模块，并提供可验证的用户规模、业务效果或效率提升结果。
5. 能够设计 Agent 执行标准流程（SOP），包括任务意图识别、数据源选择、知识库集成等，确保 Agent 安全、稳定、可审计地完成工程任务。
6. 了解深度学习、自然语言处理、机器学习等相关领域。
7. 具备扎实的软件工程能力，重视代码质量、架构可维护性、测试、监控和持续交付。
8. 具备良好的产品思维和用户意识，能够从业务价值出发定义问题、验证假设，并结合数据与反馈持续优化产品。
9. 具备较强的好奇心、自驱力和快速学习能力，能够在目标明确但路径不确定的情况下自主探索并推动落地。
10. 具备良好的沟通协作、项目推进和结果交付能力。
加分项
1. 熟悉原生 AI 应用全生命周期，包括但不限于显卡硬件、模型微调等。
2. 有 To B 场景（销售、办公、知识问答等）的实际落地经验。
3. 拥有极客精神，对硬件有一定了解，有软硬一体开发经验。
4. 具备良好的英文技术资料阅读和日常沟通能力。
China - Zhejiang - 杭州（Hangzhou）
China
China - Zhejiang
China - Zhejiang - 杭州（Hangzhou）
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