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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
- 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.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
