• Review functional specifications and technical design documents, providing meaningful feedback and using AI-assisted analysis to identify edge cases or logic gaps early in the SDLC. • Work closely with development teams to identify test cases for automation and leverage AI-powered IDEs (like Cursor or Augment) to rapidly prototype and scaffold new test suites. • Design, develop, and execute test cases against product features and backend systems. • Maintain and extend automation frameworks (Cypress/Playwright/Locust) by utilizing LLMs for code refactoring, optimizing test scripts, and reducing flaky test patterns. • Contribute to your development team on best practices, processes, and problem-solving, including the ethical and effective use of AI tools in the QA workflow. • Develop automated test result reports and highlight any potential quality risks. • Identify, troubleshoot, and track bugs to resolution, using AI tools to assist in root cause analysis and log interpretation. • Be an advocate for automation: Partner with the engineering team to provide recommendations on how to decrease manual efforts through automated solutions and AI-driven test generation.