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Tier-1 employer, metro location, and broad full-stack plus AI skills increase competition despite niche specialization.
Role blends transferable AI QA skills with regulated healthcare compliance, moderately reducing cross-industry transferability.
Explicit 7+ years, genAI mandate, regulated GxP experience and specific tech stack make shortlisting highly strict.
Design and implement comprehensive testing strategies for LLM-based and agentic AI systems ensuring reliability, fairness, and system robustness.
Develop and maintain full-stack automated testing suites across Python and TypeScript stacks with CI/CD integration for continuous quality assurance.
Ensure compliance with regulated environment standards by creating and maintaining AI-specific quality assurance frameworks and thorough test documentation.
7+ years of software testing experience, with at least 1 year focused on generative AI and/or agentic applications.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent with strong testing methodology background.
Proven expertise in Python (pytest) and TypeScript testing frameworks (Playwright, Jest, Cypress) along with automation and CI/CD pipeline integration (GitHub Actions).
Located in Hyderabad, India, with working hours overlapping Central European Time; experience working in regulated environments with knowledge of GxP and CSV processes.
Experienced in AI evaluation frameworks (e.g., RAGAS, DeepEval) and agentic workflow validation including autonomous behavior and tool-use accuracy.
Demonstrates strong full-stack quality assurance capabilities blending traditional software testing with specialized AI-centric tests and security considerations.
Comfortable operating in agile, autonomous teams using AI coding assistants and advanced observability tools (e.g., LangSmith, Arize Phoenix) within regulated healthcare contexts.