
AI Staff 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
- Lead AI product development end-to-end, from requirements analysis and solution design through implementation and delivery.
- Architect, maintain, and optimize AI systems, including troubleshooting complex issues and driving performance improvements.
- Collaborate with developers, data scientists, designers, and product managers, and provide technical guidance to junior engineers.
- Establish and enforce best practices for unit tests, integration tests, and technical documentation.
- Lead code reviews and help shape engineering standards across the team.
- Track emerging AI technologies and proactively evaluate and introduce new tools and techniques.
Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Machine Learning, or related fields.
- At least 5 years of overall software development experience, including a minimum of 2 years working specifically on AI/ML or LLM-related projects.
- Strong Python programming skills, with a track record of shipping production-grade systems.
- Proven hands-on experience with RAG (Retrieval-Augmented Generation) or modern LLM application patterns in production environments.
- Proficiency with AI/ML-related frameworks such as LangGraph, LangChain, or Django.
- Demonstrated experience designing, building, and deploying AI projects, prototypes, or ML models at scale.
- Strong commitment to clean, maintainable code, and ability to balance rapid prototyping with production-quality engineering.
- Solid experience with databases such as MySQL or Elasticsearch.
- Bonus: Knowledge of Java or Java development experience.
