AI-First QA Engineer (with Business Analysis Expertise)

About the Role

Functional QA Engineer

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.