AI Application Development Engineer

Lenovo; Petaling Jaya; On-site; MYR 180,000 - 280,000; Full time

Job summary

Lenovo is seeking an experienced AI Solution Architect to design, develop, and deploy scalable AI applications leveraging ML, Generative AI, LLMs, RAG, and Agentic AI frameworks.

You will lead end-to-end AI projects, build AI agents and copilots, and integrate AI with enterprise systems. The role emphasizes governance, observability, and production deployment while mentoring engineers.

Qualifications

• Bachelor's degree in engineering, CS, IT, AI, data science or related discipline
• 5+ years in AI/ML, software engineering, data science or AI solution development
• Strong programming in Python and modern software practices
• Hands-on with Generative AI, LLMs, prompt engineering, RAG architectures, AI agents, and Agentic AI frameworks

Responsibilities

• Design, develop, and deploy scalable AI applications leveraging ML, Generative AI, LLMs, RAG, and Agentic AI frameworks.
• Lead end-to-end lifecycle of AI projects from requirements analysis to deployment and optimization.
• Build intelligent AI assistants, agents, copilots, chatbots, and workflow automation delivering measurable business value.
• Develop and optimize LLM-powered applications ensuring performance, reliability, scalability, and security.
• Design and maintain robust data pipelines for collection, transformation, feature engineering, and model training.
• Implement evaluation frameworks, monitoring, prompt engineering strategies, and continuous improvement.
• Apply AI governance, observability, and production deployment best practices.
• Write high-quality Python code and integrate AI with enterprise systems and APIs.
• Provide technical leadership, architecture reviews, and mentor junior engineers.
• Stay current with Generative AI and emerging technologies; evaluate new tools and platforms.
• Drive innovation through PoCs and continuous improvement initiatives.

Skills

Python programming

Generative AI

LLMs

RAG architectures

Agentic AI

Education

Bachelor's Degree in Engineering/CS/IT/AI/Data Science

Job description

Key Responsibilities

AI Solution Design & Development

• Design, develop, and deploy scalable AI applications leveraging Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.
• Lead the end-to-end lifecycle of AI projects, including requirement analysis, solution architecture, development, testing, deployment, and ongoing optimization.
• Build intelligent AI assistants, AI agents, domain-specific copilots, chatbots, and workflow automation solutions that deliver measurable business value.
• Develop and optimize LLM-powered applications while ensuring performance, reliability, scalability, and security.
• Design and maintain robust data pipelines for data collection, transformation, feature engineering, and model training.
• Implement model evaluation frameworks, performance monitoring, prompt engineering strategies, and continuous improvement methodologies.
• Apply best practices for AI governance, responsible AI, model observability, and production deployment.

Software Engineering & Integration

• Write high-quality, maintainable, and production-ready code using Python and modern AI development frameworks.
• Integrate AI capabilities with enterprise systems, APIs, cloud platforms, backend services, and business applications.
• Build scalable microservices and AI-enabled enterprise solutions following software engineering best practices.
• Partner with product managers, architects, engineers, and business stakeholders to translate business challenges into AI-driven solutions.
• Provide technical leadership in AI solution design, architecture reviews, and technology selection.
• Mentor junior engineers and foster knowledge sharing across AI, data, and engineering teams.
• Contribute to AI standards, development frameworks, and organizational best practices.
• Stay current with advancements in AI, Generative AI, Agentic AI, LLMs, and emerging technologies.
• Evaluate new tools, frameworks, and platforms and provide recommendations for enterprise adoption.
• Drive innovation through experimentation, proof-of-concepts (POCs), and continuous improvement initiatives.

Required Qualifications

• Bachelor's Degree in Engineering, Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related discipline.
• 5+ years of relevant experience in AI/ML, software engineering, data science, or AI solution development.
• Strong programming expertise in Python and experience with modern software development practices.
• Hands-on experience with Generative AI, LLMs, prompt engineering, RAG architectures, AI agents, and Agentic AI frameworks.