Fullstack AI Quality Engineer – Applied & Agentic AI Systems
Roche (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 22–38 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.