AI Quality Assurance Engineer

Experience : 5+ Years About The Role : We are looking for an AI QA Engineer to work across Quality Engineering, Test Automation, Generative AI and RAG-based systems. The role needs strong Java, Selenium, debugging and CI/CD skills, along with an interest in GenAI and AI-driven QA automation. Key Responsibilities : - Analyze CI/JIT pipeline failures, find root causes and work with developers to fix recurring issues. - Develop and maintain automated test scripts and frameworks using Java and Selenium. - Build and maintain AI-assisted test case and test script generation, including RAG-based QA workflows. - Run POCs to evaluate new QA tools and technologies before adoption. - Support product teams with automation scripts, and update them as the application changes. - Automate repetitive testing activities and improve the reliability and coverage of the automation framework. - Collaborate with developers, QA and product teams, and document test processes, frameworks and POCs. Required Skills : - Test Automation : Java, Selenium WebDriver, functional and regression testing, building and maintaining frameworks, debugging failed tests. - CI/CD : Analyzing pipeline failures and identifying whether the cause is the application, test script, infrastructure or pipeline configuration. - AI / GenAI : Understanding of Generative AI and LLM applications, basic to intermediate RAG knowledge, interest in AI-assisted testing. - General QA : Test case design, execution and defect identification, with sound testing principles. - Strong problem-solving skills and the ability to investigate root causes independently. Good To Have : - RAG pipelines or AI agents, LLM APIs, Python or other scripting. - Git/GitHub/GitLab; Jenkins, GitHub Actions or GitLab CI. - Postman or REST Assured; Docker and cloud-based test environments. - Experience building internal QA tools or automation utilities.