Owns quality for both the Tuba.AI platform and Multimodal RAG Solutions (web app, APIs, SDKs) and the AI models/systems it ships (accuracy, robustness, drift, parity across cloud and premises). Combines classic QA automation with ML-specific evaluation: writes test plans, builds automated suites, validates models pre-release, and is the person who decides if a release is safe to ship. Python plus a test framework (pytest, Playwright, Postman, etc.) required; CI/CD, edge testing, and ML literacy are bonuses. Open to junior, mid, and senior.