AI Test Engineer
WSA (WS Audiology) (company site, opens in a new tab)5–8 yrsHyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Use AI-assisted tools (e.g., GitHub Copilot, Claude Code) to generate and maintain automated test scenarios from user stories, acceptance criteria, and UI/UX designs.
- Build and enhance AI-driven testing workflows to minimize manual scripting and accelerate test automation development.
- Validate, debug, and refine AI-generated test code ensuring quality, accuracy, traceability, and maintainability.
Minimum Requirements
- 5–8 years of experience in software quality assurance.
- Hands-on experience with AI-assisted coding or engineering tools applied to test automation.
- Experience leveraging user stories, acceptance criteria, and UI/UX designs as input for AI-driven test generation.
- Work Experience Required: 5–8 years in software QA; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in creating and managing AI-assisted workflows that transform requirements into executable automation tests, beyond simple code completion.
- Capable of providing detailed application context (e.g., existing automation frameworks, coding standards) to AI tools to enhance test quality.
- Skilled in identifying and addressing risks in test validity, coverage, and maintainability, with an ownership mindset over testing outcomes.