AI Engineer / AI Developer

Why Work at Lenovo

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 #153 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.

Description and Requirements

Job Brief

We are seeking a highly skilled AI Engineer / AI Developer to design, develop, and deploy AI-powered solutions that solve complex business challenges. The ideal candidate will have strong hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Python development. This role involves working closely with business stakeholders to build innovative AI products, enhance existing enterprise solutions, and drive AI-led transformation initiatives.

The successful candidate will be responsible for developing production-grade AI applications, integrating AI services into business platforms, and translating business requirements into scalable AI solutions.

Key Responsibilities

• Design, develop, and deploy AI-powered applications and intelligent automation solutions.
• Build and optimize applications using Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Anthropic, or similar platforms.
• Develop and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge sources.
• Design and build AI Agents and multi-agent workflows to support business processes and decision-making.
• Develop APIs and integrate AI services with enterprise applications and third-party platforms.
• Create Proof-of-Concepts (PoCs) and transform them into scalable enterprise-grade solutions.
• Enhance and optimize existing AI and tax technology solutions.
• Collaborate closely with business stakeholders to understand requirements and translate them into technical solutions.
• Troubleshoot, monitor, and optimize AI applications for performance, reliability, and scalability.
• Contribute to AI architecture decisions, best practices, and innovation initiatives.

Mandatory Skills & Experience

AI Technologies

• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agent concepts and frameworks

Technical Skills

• Strong Python programming skills
• Hands-on experience building LLM-powered applications
• Experience with vector databases (Pinecone, ChromaDB, Weaviate, FAISS, Azure AI Search, etc.)
• API development and integration
• Software engineering fundamentals, including version control and application architecture
• Experience deploying AI applications in production environments

Core Competencies

• Strong analytical and problem-solving abilities
• Ability to convert business requirements into AI-driven solutions
• Excellent communication and stakeholder-management skills
• Ability to work independently in a fast-paced environment

Preferred Skills

• Natural Language Processing (NLP)
• Machine Learning (ML)
• Knowledge Graphs
• Microsoft Copilot / AI Agent development experience
• Experience with LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or similar frameworks
• Experience with cloud platforms such as Azure, AWS, or GCP
• Exposure to MLOps and model deployment practices

Domain Experience (Preferred, Not Mandatory)

Candidates with exposure to any of the following domains will have an added advantage:

• Tax Technology
• Financial Services
• Finance Applications
• Compliance Solutions
• FinTech Products
• Enterprise SaaS Platforms

Strong AI professionals from other domains are encouraged to apply if they can quickly learn new business domains.

Required Qualifications

• Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related discipline.