QA Engineer – Manual, Automation & AI-Assisted Testing

Mantra Digital; United States; Remote; USD 16,000 - 18,000; Full time

Job summary

Mantra Digital is seeking a QA Engineer to own the end-to-end QA lifecycle, combining manual and automation testing with AI-assisted methods on our AI-powered SaaS platform. The role focuses on ensuring quality, reliability, performance, and scalability across web apps, APIs, and backend services in a remote setup.

You will develop reusable testing frameworks, write automation scripts, and collaborate closely with developers and product teams to deliver high-quality releases.

Qualifications

• 5–6 years of hands-on QA experience across manual and automation testing.
• Ability to manage end-to-end QA lifecycle with strong analytical and debugging skills.
• Experience with AI-assisted testing concepts and modern tooling.

Responsibilities

• Own end-to-end testing activities across web applications, APIs, backend services, and integrated systems.
• Design and execute functional, regression, smoke, sanity, integration, system, exploratory, and end-to-end test cases.
• Develop comprehensive test plans, scenarios, and test cases aligned with user stories and acceptance criteria.
• Perform positive, negative, boundary, edge-case, cross-browser, responsive, and usability testing.
• Support UAT, production validation, and release readiness activities.
• Apply risk-based testing and maintain requirement traceability to ensure coverage of critical business workflows.
• Design, develop, execute, and maintain automated test scripts for web applications and APIs.
• Work with automation frameworks such as Playwright, Selenium WebDriver, Cypress, or equivalent tools.
• Write automation scripts using Java, Python, JavaScript, or TypeScript.
• Build and maintain scalable, reusable, and maintainable automation frameworks.
• Implement Page Object Model (POM), data-driven testing, reusable utilities, and appropriate test design patterns.
• Automate repetitive test scenarios, critical business workflows, and regression suites.
• Troubleshoot automation failures, flaky tests, and environment-related issues.
• Improve automation coverage, test execution reliability, and regression efficiency.
• Explore and utilize AI-powered tools to accelerate test case creation, test script development, and defect identification.
• Leverage tools such as GitHub Copilot, ChatGPT, Cursor, Testim, mabl, or similar AI-enabled testing solutions.
• Use AI-assisted capabilities for generating test cases, developing scripts, and identifying gaps.
• Validate AI-generated test cases and scripts for accuracy, security, and maintainability.
• Recommend practical opportunities to incorporate AI into QA workflows.
• Ensure sensitive customer and company data is handled securely.

Skills

Manual Testing

Automation Testing

AI-assisted testing

API testing

Test automation frameworks

Tools

Playwright

Selenium WebDriver

Cypress

Job description

QA Engineer – Manual, Automation & AI-Assisted Testing

• Location: Remote
• Experience: 5–6 years (flexible for candidates with strong technical expertise)
• Working Hours: IST
• Employment Type: Full-Time
• Reporting To: Project Manager Compensation: ₹15–17 LPA (negotiable depending on experience, technical skills, and interview performance)

About the Role

We're looking for a highly skilled, proactive, and detail-oriented QA Engineer with strong hands‑on experience in both Manual and Automation Testing to join Meera AI's product engineering team.

You’ll be responsible for ensuring the quality, reliability, performance, and scalability of our AI-powered SaaS platform through comprehensive testing strategies, automated test development, API validation, database testing, and continuous quality improvement. This is not a manual-testing-only position. We’re looking for someone who can independently manage the end‑to‑end QA lifecycle, write and maintain automation scripts, develop reusable testing frameworks, identify critical defects, and work closely with developers and product teams to deliver high‑quality releases.

We’re particularly interested in engineers who embrace modern testing practices, including AI-assisted test case generation, intelligent automation, AI-powered testing tools, and AI-driven defect analysis, to improve test coverage, reduce repetitive manual effort, and accelerate release cycles. The ideal candidate will bring strong technical expertise, analytical thinking, exceptional communication skills, and a high level of ownership.

Manual & Functional Testing

• Own end-to-end testing activities across web applications, APIs, backend services, and integrated systems.
• Design and execute functional, regression, smoke, sanity, integration, system, exploratory, and end-to‑end test cases.
• Develop comprehensive test plans, scenarios, and test cases aligned with user stories, business requirements, and acceptance criteria.
• Perform positive, negative, boundary, edge‑case, cross-browser, responsive, and usability testing.
• Support UAT, production validation, and release readiness activities.
• Apply risk‑based testing and maintain requirement traceability to ensure coverage of critical business workflows.

Automation Testing & Framework Development

• Design, develop, execute, and maintain automated test scripts for web applications and APIs.
• Work with automation frameworks such as Playwright, Selenium WebDriver, Cypress, or equivalent tools.
• Write automation scripts using Java, Python, JavaScript, or TypeScript.
• Build and maintain scalable, reusable, and maintainable automation frameworks.
• Implement Page Object Model (POM), data-driven testing, reusable utilities, and appropriate test design patterns.
• Automate repetitive test scenarios, critical business workflows, and regression suites.
• Troubleshoot automation failures, flaky tests, and environment-related issues.
• Improve automation coverage, test execution reliability, and regression efficiency.

AI-Assisted Testing & Intelligent Automation

• Explore and utilize AI-powered tools to accelerate test case creation, test script development, and defect identification.
• Leverage tools such as GitHub Copilot, ChatGPT, Cursor, Testim, mabl, or similar AI-enabled testing solutions.
• Use AI-assisted capabilities for:

• + Generating test cases from requirements and user stories.
• + Developing and optimizing automated test scripts.
• + Identifying missing scenarios, edge cases, and coverage gaps.
• + Generating synthetic test data.
• + Analyzing test failures, application logs, and recurring defects.
• + Improving regression testing efficiency.

• Validate AI-generated test cases and scripts for accuracy, security, and maintainability.
• Recommend practical opportunities to incorporate AI into existing QA workflows.
• Ensure sensitive customer and company data is handled securely…