Responsibilities:

• Develop test plans and test cases aiming to cover all requirements and improve the overall quality of the applications.
• Interact with Business Analysts and Developers to define Testing Scope.
• Leverage AI-assisted coding tools (e.g., Cursor, GitHub Copilot) to accelerate the automation of test cases and run them in CI/CD pipelines.
• Develop and maintain testing documentation with test case descriptions, expected results, and test requirements traceability.
• Utilize Large Language Models (LLMs) like Claude and ChatGPT to draft, refine, and accelerate the creation of QA documentation and test design documents.
• Design, test, and maintain a library of reusable prompts and AI workflows to ensure consistency and high quality in AI-generated QA assets.
• Conduct exploratory and acceptance testing of new features.
• Review, validate, and debug AI-generated test code and ca...