We are looking for a Senior QA Engineer to own quality across our AI products. You will test LLM-powered features end to end, build automated test and evaluation suites, and help ensure every release is accurate, safe, and reliable. Responsibilities • Define test strategies and plans for AI features across web, API, and backend. • Evaluate model outputs for accuracy, consistency, hallucinations, bias, and safety. • Build evaluation datasets, including edge cases and adversarial / red-team prompts. • Develop and maintain automated UI, API, and regression tests integrated into CI/CD. • Run regression testing on model, prompt, and configuration changes. • Test performance, latency, error handling, and fallback behavior. • Report defects clearly and provide release-readiness sign-off. • Test non-deterministic outputs using scoring rubrics, LLM-as-judge, human evaluation, and defined pass/fail thresholds. • Perform AI security testing, including prompt injection, jailbreaks, and PII / data leakage across chatbots, RAG, and agents. • Work with ML engineers and product managers to define quality metrics and acceptance criteria. • Where applicable, monitor production quality and model drift after release. Requirements 7+ years of experience in QA / software testing, with strong test automation background. • Proven experience testing AI/ML or LLM-based products (chatbots, RAG, agents, etc.). • Hands-on scripting experience in Python and/or TypeScript/JavaScript. • Hands-on with at least one UI automation framework (Playwright, Cypress, Selenium) and a test framework such as Pytest. • API testing with Postman, REST Assured, or similar. • Experience with LLM evaluation tools. • CI/CD and version control: GitHub Actions, GitLab CI or Jenkins; Git. • Test management and tracking: Jira, TestRail, or Zephyr. • Excellent written English and clear bug reporting. Nice to Have • Performance/load testing (k6, JMeter, Locust). • Understanding of prompt engineering, embeddings, and vector databases. • Experience with AI safety, red-teaming, or content policy testing. • Cloud experience (AWS, GCP, or Azure) and Docker.