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Mid-level Bangalore role with common Test Engineer title but AI specialization reduces applicant density.
Core automation skills are transferable, but AI/ML testing expertise and LLM validation increase domain specificity.
Explicit 3-6 years plus mandatory Playwright, REST Assured/Python, SQL, and CI/CD requirements increase filtering strictness.
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Design, develop, and maintain UI and API automation test suites for AI/ML and traditional applications using Playwright, REST Assured, or Python Requests.
Own end-to-end testing activities including planning, automation development, execution, defect management, and reporting for AI/ML, Generative AI, and LLM-powered applications.
Collaborate with ML Engineers, Software Engineers, and Product Owners to define AI quality validation strategies and integrate automated test suites into CI/CD pipelines.
3-6 years of relevant experience in software testing with a focus on AI/ML or Generative AI applications.
Strong skills in UI automation (Playwright), API automation (REST Assured Java or Python Requests), Postman, and SQL for backend data validation.
Experience integrating automation suites within CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.
Location requirement: Mumbai or Bangalore (Hybrid).
Experienced in testing AI-specific challenges including AI model output validation, prompt engineering, hallucination detection, bias, and safety evaluation.
Skilled in using GenAI tools (e.g., ChatGPT, GitHub Copilot) to accelerate test design, development, and debugging.
Capable of independently managing testing lifecycles, mentoring junior engineers, and driving automation-first quality engineering practices.