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Tier-1 employer and metro location increase applicants, but niche AI QA skills moderate density.
Specialized AI testing plus regulated healthcare processes and validation requirements limit cross-industry portability.
Multiple mandatory filters: 7+ years, AI-specific testing, Python/TypeScript, regulated environment and CI/CD make shortlisting strict.
Design and implement comprehensive testing strategies for LLM-based and agentic AI systems, including edge case, bias, security, and performance testing.
Develop and maintain full-stack automated testing solutions spanning Python backend and TypeScript frontend within CI/CD pipelines.
Ensure AI quality and compliance in a regulated healthcare environment by establishing test frameworks, documentation, and feedback loops for continuous improvement.
7+ years of software testing experience, with at least 1 year focused on generative AI or agentic applications.
Degree in Computer Science, Software Engineering, or equivalent (B.Sc., B.Eng., M.Sc., M.Eng.).
Advanced proficiency in Python and TypeScript testing frameworks (pytest, Playwright, Jest, Cypress) and CI/CD tools (GitHub Actions).
Located in Hyderabad, India with working hours overlapping Central European Time evenings.
Experienced in testing and validating autonomous agentic workflows and generative AI systems in regulated, agile environments.
Strong technical skills integrating AI evaluation tools (RAGAS, DeepEval, Promptfoo) and monitoring platforms (LangSmith, Arize Phoenix) for AI system observability.
Proficient in developing end-to-end automated tests covering LLM behaviors, security (prompt injection, data leakage), and performance in healthcare applications.