About the Role    
We are hiring a Functional QA Engineer   who brings both business understanding   and quality engineering skills  .
The role focuses on building quality from the first requirement using AI tools and copilots   to design smarter tests, identify defects early, and simplify documentation.
 
You’ll work closely with product and development teams, using an AI-first approach to make testing faster, sharper, and more efficient.
 
  
Responsibilities    
- Use AI-based tools   to plan, design, and run functional tests.
 
 
- Create and maintain test scenarios from user stories or requirements using tools like ChatGPT, Testim, or Mabl  .
 
 
- Run manual and automated tests, identify flaky cases, and suggest areas for automation.
 
 
- Use AI insights   to spot defect trends and speed up root cause analysis.
 
 
- Generate realistic test data with privacy-safe, AI-generated datasets.
 
 
- Automate documentation, test reports, and test case updates.
 
 
- Work with Product, Development, and DevOps teams to include AI-driven insights in sprints.
 
 
- Try out new AI/ML testing tools   and share recommendations.
 
 
  
Skills & Experience    
- At least 8+years of experience in Functional QA   (manual + automation).
 
 
- Good knowledge of QA processes, test planning, and test design.
 
 
- Hands-on experience with tools like Selenium, Playwright, or Cypress  .
 
 
- Working knowledge of AI-powered QA tools   such as Testim, Mabl, or Functionize.
 
 
- Experience with ChatGPT, Copilot, Gemini, or similar tools   for creating test cases or documentation.
 
 
- Basic understanding of prompt design   and how to guide AI tools effectively.
 
 
- Scripting in Python or JavaScript  .
 
 
- Exposure to CI/CD   platforms like Jenkins, GitHub Actions, or Azure DevOps.
 
 
- Strong attention to detail and analytical skills.
 
 
  
Good to Have    
- Experience testing AI models   or validating LLM responses.
 
 
- Worked with AI-driven test management   or low-code testing platforms.
 
 
- Understanding of AI fairness and bias   in testing.
 
 
- Experience with QA dashboards   or analytics using AI insights.