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QA Engineer (AI-Driven Testing & Automation) at Zealogics.com. Location Information: USA. We are looking for a . QA Engineer.  with 5 to 8 years of experience, who brings strong expertise in both . manual and automated testing. , with the ability to leverage . AI-powered testing tools and methodologies.  to enhance quality, efficiency, and coverage. The ideal candidate is proactive, detail-oriented, and passionate about continuous learning and improvement in the QA discipline. You will play a key role in ensuring software reliability across functional, regression, and performance dimensions, while adopting modern AI-based testing practices to accelerate our release cycles.. Key Responsibilities. Design, develop, and maintain . AI-augmented test automation frameworks.  using the latest tools and techniques.. Conduct . manual functional testing.  for new features, enhancements, and bug fixes to ensure end-to-end system validation.. Utilize . AI-driven testing platforms.  for test generation, defect prediction, and intelligent regression analysis.. Create, execute, and maintain . automated test scripts.  for web, API, and backend services.. Define, plan, and execute various QA cycles such as . smoke testing, regression testing, integration testing,.  and . UAT. .. Collaborate closely with development and DevOps teams to integrate QA automation within CI/CD pipelines.. Continuously improve test coverage, test efficiency, and reporting accuracy.. Document test cases, track defects, and ensure timely resolution through effective communication with cross-functional teams.. Stay updated with emerging AI and automation technologies to continuously evolve QA strategy and toolsets.. Required Skills & Qualifications. Bachelor’s degree in Computer Science, Engineering, or related field.. 5-8 years of professional experience in . QA and test automation. .. Proficiency in . manual testing methodologies.  and . QA lifecycle management. .. Hands-on experience with . automation frameworks.  (Selenium, Playwright, Cypress, or similar).. Familiarity with . AI-based testing tools.  (e.g., Testim, Mabl, Functionize, Browser-Use or LLM-based test generation tools like ChatGPT/OpenAI).. Strong understanding of . smoke, regression, sanity, performance,.  and . UAT.  best practices.. Experience with . API testing tools.  (Postman, Newman) and . CI/CD integration.  (Jenkins, GitHub Actions, Azure DevOps).. Good understanding of . test design techniques.  and . defect management systems.  (JIRA, TestRail, Azure DevOps).. Excellent communication and collaboration skills.. Self-motivated, quick learner, and adaptable to changing priorities or environments.