QA Engineer: AI-Augmented Manual & Automation (Remote)

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

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.