Responsibilities of the Candidate:

Use AI coding tools such as Claude Code, Cursor, GitHub Copilot, Codex or equivalent for test creation and automation.
Use AI across the QA lifecycle — requirement analysis, test-case generation, test-data creation, automation, debugging, and documentation.
Create comprehensive functional, regression, integration, and API test cases using AI-assisted approaches.
Develop and maintain automated test scripts using tools such as Playwright, Cypress, Selenium, Appium, or equivalent.
Use AI to identify edge cases, negative scenarios, and potential defects that may be missed through conventional testing.
Automate API testing and validation for backend services.
Use AI for **failure analysis, log analysis, and root-cause identification**.
Validate AI-generated test cases and automation scripts for accuracy and coverage.
Maintain regression suites and continuously improve test coverage.
Work closely with developers to identify, reproduce, and resolve defects.

Requirements:

1–3 years of experience in QA / Software Testing.
Good understanding of functional, regression, API and integration testing.
Hands-on experience with automation tools such as Playwright, Cypress, Selenium or equivalent.
Basic scripting/programming knowledge in JavaScript/TypeScript, Python or Java.
Good understanding of REST APIs, SQL and Git.
Hands-on experience with AI-assisted QA/testing tools.
Ability to effectively prompt, guide, and validate AI-generated test cases and automation code.
Strong analytical and debugging skills.