AI-Testing Associate Engineer.

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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.