Lenovo Hiring! Full Time AI Application Development Engineer in Selangor - Ricebowl

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.

Data Engineering & Model Optimization

• 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.

Collaboration & Leadership

• 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.

Innovation & Research

• 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.