QA Engineer - AI Native and Agentic Systems - Zenara 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.

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

Remote-first

Equipment stipend

Local holidays (India)

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