AI Engineer

About the Company

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 #196 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.

Job Responsibilities

• Support AI product development through requirements analysis, solution exploration, and implementation under senior guidance.
• Assist in maintaining and optimizing existing AI systems, including troubleshooting and performance improvements.
• Collaborate with developers, data scientists, designers, and product managers to support team goals.
• Help write and maintain unit tests, integration tests, and technical documentation.
• Participate in code reviews and learn best engineering practices.
• Stay updated with emerging AI technologies and actively explore new tools and techniques.

Qualifications

• Bachelor's or Master's degree (completed or in progress) in Computer Science, Software Engineering, AI, Machine Learning, or related fields.
• At least 1 year of relevant work experience.
• Solid Python programming skills; project experience is a plus.
• Hands-on project experience with RAG (Retrieval-Augmented Generation) or modern LLM application patterns.
• Familiarity with AI/ML-related frameworks such as LangGraph, LangChain, or Django is beneficial.
• Experience building small AI projects, prototypes, or ML models (coursework, internship, or personal projects).
• Commitment to writing clean, maintainable code and quick prototyping.
• Exposure to databases such as MySQL or Elasticsearch is a plus.
• Bonus: Knowledge of Java or Java development experience.