Execute manual and automated testing activities across product features and releases
Design test scenarios, validate requirements, and identify potential quality risks
Create high-quality bug reports with clear reproduction steps and supporting evidence
Perform API, regression, exploratory, integration, and end-to-end testing
Develop and maintain automated test scripts and test suites
Utilize AI-powered tools to improve testing efficiency and defect analysis
Collaborate closely with engineers and product teams to ensure timely issue resolution
Support CI/CD pipelines and contribute to continuous quality improvements
Validate AI-generated code fixes, test cases, and recommendations before implementation

3+ years of experience in Software QA (manual and automated testing)
Strong knowledge of test design techniques, including equivalence partitioning, boundary value analysis, and risk-based testing
Proven experience creating clear, structured, and reproducible bug reports
Hands-on experience with AI coding/testing assistants such as Claude, GitHub Copilot, Cursor, or similar tools
Experience with API testing (REST and/or GraphQL) using Postman, Playwright, Python requests, or similar tools
Practical experience with test automation using Playwright, Cypress, Selenium, Pytest, or equivalent frameworks
Ability to critically evaluate AI-generated output and identify incorrect, incomplete, or risky solutions
Experience with Git and CI/CD workflows
Strong written English skills
Ability to create structured bug tickets suitable for both human and AI-assisted workflows.

AI-Assisted Testing Engineer

Key skills