AI Quality Engineer (Manual + Automation)

Role overview

AI Quality Engineer (Manual + Automation) at Techjays

Required qualifications

• Basic scripting knowledge in Python or JavaScript is beneficial but not required.

Employment details

• Location: Coimbatore [India]

Additional role details

• 3 - 5 years of hands-on manual/functional QA experience across web, API, and mobile applications.
• Strong knowledge of software testing principles - test design techniques, defect lifecycle, and QA best practices.
• Experience with test planning, coverage analysis, and test execution across the full SDLC.
• Solid understanding of Agile/Scrum workflows and sprint participation.
• Hands-on experience testing AI/ML-based products or features - chatbots, recommendation engines, LLM-powered tools, or similar.
• Ability to design test scenarios for non-deterministic or AI-generated outputs using range-based and behaviour-based validation.
• Exposure to prompt testing and evaluating AI feature accuracy, relevance, and edge-case behaviour.
• Ability to design and execute detailed test cases covering functional, regression, integration, and UAT scenarios.
• Manual API testing using Postman - validating request/response, schema, auth flows, and error handling.
• Familiarity with mobile testing basics - device fragmentation, gestures, and cross-platform behaviour.
• Strong command of test documentation - test plans, test cases, and defect reports.
• Working exposure to automation tools such as Selenium, Playwright, or Cypress is a plus.
• Basic SQL for data validation, JIRA/Confluence for test management, and BDD (Cucumber/Gherkin) exposure is a plus.
• Exposure to cross-browser testing tools such as BrowserStack or Sauce Labs is beneficial.
• Detail-oriented and systematic - documents, reproduces, and communicates defects clearly and consistently.
• Strong collaborator who works naturally with developers, product managers, and AI/data teams.
• Self-starter with an ownership mindset - proactively identifies quality gaps.
• Curious about AI tools and product features, willing to learn and adapt testing approaches.
• Effective communicator who can explain test results, coverage, and release risk to stakeholders.