Full Stack AI Solution Engineer

Position Overview

This role supports Lenovo’s global e-commerce platform under a new business model, covering both B2B and B2C omni-channel sales. As a key component of Lenovo’s strategic development, the platform continuously incorporates the latest industry trends and innovative technologies. Built on a modern microservices architecture, it is undergoing ongoing optimization to support the rapid growth of Lenovo’s global e-commerce business.

We are looking for an engineer with strong Java foundations who can bring AI capabilities, such as LLM-powered search, assistants, and automation, into this production platform. You will build AI features end to end: from backend services and data pipelines to user-facing integration.

Key Responsibilities

• Design and develop Java microservices for the e-commerce platform (product, order, pricing, cart, search, etc.).
• Build and integrate AI-powered features into the platform, such as intelligent product search and recommendation, conversational shopping assistants, content generation, and customer-service automation.
• Design and implement RAG pipelines and LLM application workflows (prompting, retrieval, tool calling, agents), and expose them as reliable, scalable services.
• Integrate LLM and ML capabilities with existing Spring Cloud services, including API design, performance tuning, caching, and cost control.
• Maintain and optimize existing systems, including troubleshooting and performance improvements.
• Collaborate with developers, data scientists, designers, and product managers to deliver business outcomes.
• Write and maintain unit tests, integration tests, and technical documentation; participate in code reviews.
• Keep up with emerging AI technologies and evaluate new tools and techniques for practical adoption.

Qualifications

Education

• Bachelor’s degree or above in Computer Science, Software Engineering, AI, or a related field.
• Graduates from top-tier universities or Master’s degree holders are preferred.

Core Java and Backend (Required)

• At least 5 years of Java development experience.
• Proficiency with mainstream open-source frameworks such as Spring, Spring Boot, and MyBatis.
• Strong understanding of microservices architecture and related technologies, including Spring Cloud, Nacos, Redis, Jenkins, and GitLab.
• Experience in database design and development using MySQL, Redis, MongoDB, etc.

AI Capabilities (Required)

• Hands-on project experience with RAG or modern LLM application patterns (prompt engineering, embeddings, vector search, tool/function calling).
• Experience integrating LLM APIs into production applications, using Java frameworks (Spring AI, LangChain4j) or Python frameworks (LangChain, LangGraph).
• Working proficiency in Python for AI prototyping and data processing.
• Understanding of how to evaluate and monitor LLM application quality, latency, and cost.

E-commerce Expertise

• Solid understanding of both B2B and B2C e-commerce models.
• Hands-on experience building internet-based e-commerce websites; experience in internet or e-commerce companies is preferred.

Nice to Have

• Experience with Elasticsearch or vector databases (e.g., Milvus, pgvector, Elasticsearch vector search).
• Experience with front-end frameworks (React or Vue) for building AI-facing user interfaces.
• Experience with AI agent frameworks, MCP, or AI-assisted development tools.
• Personal or open-source AI projects and prototypes.

Soft Skills and Language

• Strong ability to work independently and solve problems effectively.
• Excellent research, learning, and teamwork capabilities.
• Fluency in English is required; proficiency in Mandarin is a strong advantage.