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Lenovo • Kuala Lumpur, Kuala Lumpur, Malaysia
Role & seniority: AI QA Engineer – Fresher/entry-level, 2025 graduate
Stack/tools: AI/ML concepts, NLP, LLMs, RAG pipelines, model evaluation metrics; programming in Python; QA methodologies, automation frameworks; API testing; (preferred) PyTorch, TensorFlow
Design and execute test plans for AI-based applications and systems
Validate performance and accuracy of LLMs, RAG pipelines, and AI models
Develop automated test scripts for AI workflows/APIs; conduct functional/integration/regression testing; document results and insights
Strong understanding of AI, ML fundamentals, NLP; familiarity with LLMs and RAG
Basic QA methodologies, test case design, automation concepts
Proficiency in Python; analytical and problem-solving abilities
Experience with AI testing tools/frameworks; exposure to PyTorch/TensorFlow
API testing and data validation for AI systems
Location & work type: Kuala Lumpur, Malaysia (Vertical Corporate Tower, Bangsar South); Full-time, entry-level
Notes: Lenovo is seeking 2025 graduates in Software Engineering or Information Technology. Role focuses on testing and validating AI-driven applications with emphasis on model accuracy, reliability, and quality compliance. Equal Opportunity employer.
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 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.
Location: Vertical Corporate Tower, Bangsar South, Kuala Lumpur (KL)
Experience: Fresher (2025 Graduate)
Qualification: Masters Degree in Software Engineering / Information Technology/Computer Science
About The Role
We are seeking enthusiastic and detail-oriented AI QA Engineers to join our team. This role is designed for fresh graduates who are passionate about Artificial Intelligence, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). You will work on testing and validating AI-driven applications, ensuring model accuracy, reliability, and compliance with quality standards.
Key Responsibilities
Design and execute test plans for AI-based applications and systems. Validate performance and accuracy of LLMs, RAG pipelines, and AI models. Develop automated test scripts for AI workflows and APIs. Perform functional, integration, and regression testing for AI features. Monitor model performance metrics and identify anomalies. Document test results and provide actionable insights for improvement.
Required Skills
Strong understanding of AI concepts, machine learning fundamentals, and NLP. Knowledge of Large Language Models (LLMs) and their applications. Familiarity with model training workflows and evaluation metrics. Understanding of Retrieval-Augmented Generation (RAG) techniques. Proficiency in at least one programming language (Python preferred). Basic knowledge of QA methodologies, test case design, and automation frameworks. Good analytical and problem-solving skills.
Preferred Skills
Exposure to AI testing tools and frameworks. Exposure to PyTorch, TensorFlow, or similar ML libraries. Familiarity with API testing and data validation for AI systems.
Eligibility
2025 graduates in Software Engineering or Information Technology. Strong academic background and eagerness to learn AI-driven QA practices.
Why Join Us?
Work on next-generation AI systems and LLM-based applications. Opportunity to learn and grow in AI Quality Assurance. Collaborative environment with AI experts and QA professionals.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Show more Show less