QA Engineer (AI)

Responsibilities:

• Design, develop, and maintain AI-driven QA automation solutions.
• Build and execute automated tests for web, mobile, API, end-to-end, regression, and integration testing.
• Use AI and LLM technologies to support test case generation, automation script generation, intelligent test execution, test prioritization, regression optimization, failure analysis, log analysis, and root cause analysis.
• Develop self-healing and scalable test automation frameworks.
• Work with AI agents, agentic workflows, RAG, prompt engineering, and LLM evaluation in QA use cases.
• Integrate test automation into CI/CD pipelines.

Requirements:

• Experience in QA automation, SDET, or test automation engineering.
• Strong knowledge of AI QA, GenAI testing, LLM testing, and AI-powered test automation.
• Hands-on experience with Selenium, Playwright, Cypress, and Appium.
• Proficiency in Python, Java, JavaScript, or TypeScript.
• Experience with API automation and API testing.
• Strong understanding of end-to-end, regression, and integration testing.
• Familiarity with OpenAI, Azure OpenAI, Claude, Gemini, Llama, LangChain, LlamaIndex, and RAG concepts.
• Experience with CI/CD tools such as Jenkins and GitHub Actions.
• Working knowledge of Docker and Kubernetes.
• Understanding of AI QA frameworks and intelligent automation approaches.