Summary:

Lenovo is seeking a highly motivated AI Engineer to contribute to the design, development, and exploration of our next-generation AI systems. As an AI Engineer, you will have the opportunity to work on a variety of projects across the AI stack – from foundational models to intelligent applications – depending on project needs and your own interests. This is an exciting opportunity to gain hands-on experience with cutting-edge AI systems while collaborating with experienced engineers, researchers, and product teams to help advance Lenovo’s Hybrid AI vision and make Smarter Technology for All.

Responsibilities:

• AI Systems Development: Assist in the design, implementation, and testing of AI-driven systems and tools.
• Agent and Workflow Design: Support development of intelligent agents and task automation pipelines, including prompt engineering and context management.
• Evaluation & Analysis: Help evaluate AI models for performance, accuracy, robustness, and fairness.
• Research & Prototyping: Stay up to date with the latest AI advancements and assist in rapid prototyping of innovative concepts.
• Collaboration & Documentation: Work closely with mentors and team members to document findings, share insights, and contribute to project deliverables.

Qualifications:

• Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Electrical & Computer Engineering, Data Science, or a related technical field.
• Strong interest in AI, machine learning, and intelligent systems.
• Proficiency in programming languages such as Python, C++, Java, or Kotlin.
• Basic understanding of Machine Learning and Deep Learning principles.
• Exposure to AI frameworks such as PyTorch, Transformers, LangGraph, or Autogen.
• Curiosity, adaptability, and willingness to learn new technologies and methods.
• Good communication and collaboration skills.

Bonus Points:

• Experience working on personal or academic AI projects (e.g., LLMs, multimodal models, chatbots).
• Previous internship experience in software development or AI fields.
• Contributions to open-source AI projects.
• Publications in leading AI conferences or journals.