QA Engineer — AI Native and Agentic Systems

Role Title: QA Engineer — AI Native and Agentic SystemsLocation: 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.

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

Remote-first

Equipment stipend

Local holidays (India)

Learning budget (QA, security, cloud, AI tools)