Fullstack AI Quality Engineer – Applied & Agentic AI Systems
Roche (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 22–35 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 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.