Engineer, AI Application Development
Why Work at Lenovo
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Description and Requirements
Job Responsibilities
AI Business Implementation: Design and develop AI-driven application tools tailored to real business scenarios such as e-commerce, LeXiang , and internal operations—including intelligent Q&A, automated processing assistants, and data analysis agents—to improve operational efficiency.
Intelligent System Development: Build RAG (Retrieval-Augmented Generation) systems based on existing business data and knowledge bases, enabling AI to accurately access internal enterprise information and support customer service, operations, and decision-making scenarios.
AI Agent Development: Develop intelligent agents with task execution capabilities, integrating with existing business systems to achieve workflow automation and intelligent assistance, reducing repetitive manual work.
Productization & Delivery: Work closely with business teams to package AI capabilities into user-friendly internal tools or product features, driving adoption from pilot projects to scaled deployment.
Continuous Optimization: Stay current with AI technology advancements, optimize model performance, response speed, and user experience based on business feedback, ensuring AI applications remain stable and reliable.
Job Requirements
Technical Foundation: Proficient in Python or Java , etc , familiar with frontend and backend development, with hands-on experience in engineering and productizing AI capabilities.
AI Application Experience: Familiar with LLM API integration, RAG architecture, and AI agent development, with proven success stories of implementing AI technology in real business contexts.
Business Acumen: Background in e-commerce or enterprise operations, with the ability to quickly understand business pain points and propose feasible AI-driven solutions.
Collaboration Skills: Strong communicator who can translate technical concepts into business value, effectively collaborating with product, operations, and business teams to drive cross-functional initiatives.
Learning Mindset: Passionate and curious about AI technology, eager to experiment with new approaches and solve emerging challenges in a fast-paced environment.
Nice to Have
- Experience with internal AI tools, intelligent customer service, or AI assistant projects
- Familiarity with mainstream domestic large language models and enterprise deployment solutions
- Data analysis and visualization skills, with the ability to leverage AI for business decision support