AI Engineer

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

Job Responsibilities

Develop AI Application for Global Procurement transformation. Implement AI, AI Agent related solutions.

Build agents solutions leveraging corporate LLM and agent builder, with knowledge of frameworks like LangChain, ReAct, or LangGraph,.

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

Tune LLM leveraging prompt, RAG, few-shot and related methods

Participants in development process and used tools such as Maven, git and docker

Implement tools to extend LLM functionality and capability to enhance agent

Collaborate with cross-functional teams to develop AI solutions.

Job Requirements

Major in Computer Science, AI, or related fields. Master degree preferred.

1-3 years proven work experience in LLM tuning and AI engineering.

Strong architecture and programming skills on Python (must), Java as a plus.

Solid foundation in data structures and algorithms, good programming habits as well as engineering abilities

Hands-on experience with prompt engineering, RAG and LLM tuning.

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

Fluent in English communication (both written and spoken)

Understand deep learning models and algorithms, and be proficient in using common deep learning frameworks as a plus