AI全栈开发工程师

Location
北京(Beijing)
Workplace
On-site
Employment
Full-time

About this role

Why Work at Lenovo

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.

Description and Requirements

岗位职责:

负责AI应用架构设计与优化,从需求分析到落地实施,提供全流程技术支持,解决复杂业务场景问题。 

探索大模型与行业场景(如服务、办公、营销)的深度结合,输出技术解决方案。 

主导大模型选型、部署、压缩、量化、与主流显卡适配等性能优化工作。 跟踪AI前沿技术,推动团队技术迭代。

通过技术分享、代码评审和经验指导,提升团队整体能力,打造高效且富有战斗力的研发团队,提升团队整体研发效率。

岗位要求:

熟悉主流大模型架构(如Transformer、MoE、GPT等),掌握大模型微调、量化、模型部署及推理加速等技术。 

熟悉Prompt工程、RAG调优、知识图谱构建与智能体调优等相关技术。 熟悉常用智能体应用开发框架、工具与服务中间件(如TensorFlow、PyTorch、Keras、LangChain、LangGraph、LlamaIndex、Hugging Face生态、向量数据库、图数据库等)。 

至少精通一门编程语言(如Python、Java),熟悉智能体架构,具备很好的工程化落地能力和服务抽象能力。 

5年以上AI应用开发经验,至少2年上大模型项目开发经验。 

 优秀的英语阅读理解能力,能够无障碍阅读英文技术文档和论文。 

计算机科学与技术、人工智能、软件工程等相关专业,本科及以上学历,具备扎实的理论基础。 


Additional Locations: 
* China - Beijing - 北京(Beijing)

General Information

Req #
WD00108770
Career area:
Hardware Engineering
Country/Region:
China
State:
Beijing
City:
北京(Beijing)
Date:
Thursday, November 12, 2026
Working time:
Full-time
Additional Locations: 
* China - Beijing - 北京(Beijing)

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