Senior QA Engineer – AI Native and Agentic Systems

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2070 Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚕️ Healthcare Insurance

💰 Seed Round on 2023-06

Healthcare Insurance

2070 Health is India's first venture studio dedicated to building patient-centric healthcare companies from the ground up. By combining innovative ideas, exceptional founders, and a robust innovation platform, 2070 Health aims to transform the healthcare landscape. It supports new ventures by conducting thorough diligence on impactful healthcare concepts, assembling teams, launching companies, and scaling them using its innovation platform. The studio focuses on creating meaningful healthcare companies that address large, unmet needs within the sector, with the goal of revolutionizing healthcare delivery in India. Some of its ventures include BabyMD, Elevate Now, and Nivaan Care, which provide specialized healthcare services such as pediatric care, weight loss programs, and pain management clinics.

📋 Description

• **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

🎯 Requirements

• **Who You Are ** • You think of QA as a system design problem, not a checklist. • **You’re excited by: ** • Autonomous systems • AI-driven exploration • Replacing manual effort with intelligence • Designing feedback loops, not just test suites • **You’re uncomfortable with: ** • Manually writing hundreds of brittle test cases • QA that reacts instead of anticipates • Automation that breaks every sprint • **Required Experience ** • 3+ years in QA (manual + automation) —** foundation matters ** • **Strong understanding of: ** • SDLC • Test strategies • Failure modes in complex SaaS systems • **Hands-on experience with: ** • UI automation (Playwright / Cypress / Selenium) • API testing Demonstrated use of AI in QA beyond basic test generation • Autonomous testing • AI-assisted exploratory testing • Intelligent test orchestration • Ability to explain how AI systems decide what to test next • **Strongly Preferred:** • Experience designing QA frameworks or platforms • Experience integrating QA into CI/CD at a system level • Performance / reliability testing • Healthcare or regulated systems experience • Prior work where QA influenced architecture decision

🏖️ Benefits

• **Benefits** • Remote-first • Equipment stipend • Local holidays (India) • Learning budget (QA, security, cloud, AI tools)