基本信息

职位编号:
100016054
工作领域:
Artificial Intelligence
国家/地区:
中国
省:
天津
市:
天津（Tianjin）
日期:
星期四, 6 月 5, 2025
其他工作城市: 
* China

为什么选择联想

联想文化，我们称之为 “We Are Lenovo”（我们，就是联想），其核心是：“说到做到，尽心尽力，成就客户”。

联想集团是一家年收入569亿美元的全球化科技巨头，位列《财富》世界500强第248名，服务遍布全球180个市场数以百万计的客户。为实现“智能，为每一个可能” 的公司愿景，联想在不断夯实全球个人电脑市场冠军地位的基础上，积极构建全栈式的计算能力，现已拥有包括人工智能赋能、人工智能导向和人工智能优化的终端、基础设施、软件、解决方案和服务在内的完整产品路线图，包括个人电脑、工作站、智能手机、平板电脑等终端产品，服务器、存储、边缘计算、高性能计算以及软件定义等基础设施产品。这一变革与联想改变世界的创新一起，共同为世界各地的人们成就一个更加包容、值得信赖的智慧未来。联想集团有限公司在香港交易所上市（港交所：992）（美国预托证券代号：LNVGY）。

欢迎访问联想官方网站 https://www.lenovo.com，并关注“联想集团”微博及微信公众号等社交媒体官方账号，或关注“联想招聘”公众号，获取联想最新动态。

职位描述和要求:

Job Responsibilities:
1.Develop AI Application for Global Supply Chain transformation. Implement AI, AI Agent related solutions.
2.Build agents solutions leveraging corporate LLM and agent builder, with knowledge of frameworks like LangChain, ReAct, or LangGraph.
3.Develop business scenarios to adapt to self-developed large model, enhance and expand existing models with RAG through business data and knowledge bases, and conduct operation and maintenance and optimization of large model applications
4.Tune LLM leveraging prompt, RAG, few-shot and related methods
5.Participants in development process and used tools such as Maven, git and docker
6.Implement tools to extend LLM functionality and capability to enhance agent
7.Collaborate with cross-functional teams to develop AI solutions.

Job Requirements:
1.Major in Computer Science, AI, or related fields. Master degree preferred.
2.3+ years proven work experience in LLM tuning and AI engineering.
3.Strong architecture and programming skills on Python (must), Java as a plus.
4.Solid foundation in data structures and algorithms, good programming habits as well as engineering abilities
5.Hands-on experience with prompt engineering, RAG and LLM tuning.
6.Familiar with the development of large models and AI agents, have a strong interest and enthusiasm for AI application development, and be willing to engage in related work for a long time
7.Fluent in English communication (both written and spoken)
8. Understand deep learning models and algorithms, and be proficient in using common deep learning frameworks as a plus

其他工作城市: 
* China
* China
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