JD for QA (Automation +Prompt Engineering Skills) Key Responsibilities: AI Assisted Test Engineering • Analyze large and complex codebases to identify testing needs, edge cases and coverage gaps • Use AI tools/models to generate test cases, test scripts, and supporting documentation • Review, validate and refine AI generated test cases / scripts for correctness, maintainability and Robustness • Apply advance prompt engineering and conext-setting techniques along with feedback loops to maximize AI model effectiveness • Hands-on experience using leading AI coding assistants such as GitHub Copilot, Open AI models, CodeWhispere, or similar • Establish guidelines and best practices for protected and effective use of AI in software testing Test automation and Development • Design, develop and maintain automated test suites (using Selenium, PlayWright or similar)



for diverse technologies • Troubleshoot, debug and optimize both test automation piplelines and uderlying code issues CI-CD and on-premise Integration • Set-up and manage on-premise AI model deployments and related tooling to support code-analysis and test generation workflows • Integrate AI-assisted testing workflows seamlessly into existing CI/CD pipelines (GitHub, Jenkins or similar) Overall Experience needed : 6 to 8 years (Includes 1 year in AI Assisted test engineering) Band : 4C to 5B Role : Individual Contributor

Overall Experience needed : 6 to 8 years (Includes 1 year in AI Assisted test engineering) Band : 4C to 5B Role : Individual Contributor

📌 Quality Assurance Analyst (Hyderabad)
🏢 TalentOla
📍 Hyderabad