QA Engineer - AI Native and Agentic Systems - Zenara Health

**This is not a role with 2070 Health** Role Title: QA Engineer — AI Native and Agentic Systems Location: Remote across India (works US Pacific hours) Type: Full-time About the Company: Zenara Health is a technology-driven mental health care company dedicated to transforming access and quality of mental wellness services. The company combines AI-powered platforms with expert clinical care to deliver personalized, effective mental health solutions. Zenara Health strives to innovate and improve mental health outcomes by connecting patients and providers through a seamless digital experience. About the role: This Is Not a Traditional QA Role This is not a transitional or maintenance QA position. We are building agentic software development, and we need QA that operates at the same speed, intelligence, and autonomy as development. You will design and own an AI-driven QA system that: • Tests complex SaaS products end-to-end • Discovers bugs autonomously (without hand-written test cases) • Simulates how a new human QA engineer would deeply explore the product • Runs continuously (ideally 24× 7) • Integrates directly into agentic development loops If your idea of QA is mostly writing Selenium scripts from requirements, this role is not for you. The Mission Build and operate an autonomous QA engine that: • Thinks like a human QA engineer • Acts like an AI system • Never sleeps • And never lets defects escape QA here is not a gate at the end — it is a real-time adversary to development agents until quality is proven. What You Will Own (End-to-End) 1. Autonomous, AI-Driven QA Design AI-based systems that: • Explore UI, APIs, workflows, and edge cases without pre-defined scripts • Generate and execute tests dynamically from product behavior • Discover bugs through exploration, not just assertions • Move beyond static automation into self-directed testing systems 2. Agentic QA × Agentic Development Integration Build QA agents that: • Continuously test features as development agents build them • Provide structured, actionable feedback in real time • Loop with development agents until quality thresholds are met • Own the QA feedback loop as a first-class system, not a manual process 3. Full-Stack Quality Coverage Validate quality across: • Web UI • Backend services • APIs • Data integrity • End-to-end user journeys • Ensure the system works as a cohesive product, not just isolated components 4. Intelligent Defect Discovery & Verification Automatically identify: • Functional defects • Workflow breaks • Regression issues • Performance and reliability risks • Ensure issues are: • Reproducible • Verified • Clearly explainable to humans 5. Continuous, Always-On QA • QA does not stop at “test execution” • Build systems that: • Run continuously • Adapt as the product evolves • Increase coverage automatically over time 6. Quality Ownership • Define what “release-ready” means • Block releases when quality is insufficient — with evidence • Raise risks early, clearly, and decisively What Success Looks Like • Bugs are found before humans see them • QA coverage grows without linear human effort • Development speed increases because QA is faster • QA agents actively challenge dev agents • Releases feel boring — because nothing breaks Schedule Daytime hours with 4–8 hours of overlap to US Pacific, with flexibility for critical releases or audits.