





Mid-level QA role in metro locations with popular title, broad automation stack, and AI/ML focus increases competition.
AI/ML-specific testing increases domain specificity, but core automation and QA skills remain transferable.
Explicit 3-6 years plus mandatory AI testing, Playwright/REST Assured, CI/CD, and SQL make shortlisting strict.
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Design and maintain UI and API automation test suites for AI/ML and Generative AI applications, including functional, integration, regression, and end-to-end testing.
Own end-to-end testing activities independently covering test planning, automation development, defect management, reporting, and integration into CI/CD pipelines.
Validate AI model outputs and AI responses for correctness, consistency, bias, and safety; collaborate with ML Engineers and Product Owners to define AI quality validation strategies.
3-6 years of relevant work experience.
Strong proficiency in UI automation using Playwright and API automation using REST Assured (Java) or Python Requests.
Hands-on experience with AI/ML or Generative AI application testing and understanding of LLMs, RAG, chatbots, and AI evaluation techniques.
Location: Mumbai or Bangalore (Hybrid).
Experienced in handling full lifecycle test automation and capable of independent end-to-end ownership of AI-focused quality engineering tasks.
Strong technical skills in modern testing frameworks integrated with CI/CD pipelines and hands-on debugging/root cause analysis ability.
Familiar with AI/ML domain specifics such as prompt engineering, AI output validation, bias and safety testing, and leveraging GenAI tools to accelerate testing workflows.