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.