AI Quality Engineer

Job Description:

·         AI Agent Test Scenario Creation: Designing robust and relevant test scenarios to validate AI agent behavior and performance.

·         PRD Analysis: Analyzing Product Requirement Documents (PRDs) to extract testing requirements and ensure comprehensive test coverage.

·         Performance Testing: Conducting thorough performance testing of AI systems to identify bottlenecks and ensure scalability.

·         Agentic Tool: Utilizing agentic tools such as Windsurf, Claude Code, and Cursor for advanced automation tasks.

·         Selenium AI Plugins: Implementing and leveraging AI-powered Selenium plugins, including Healenium and Applitools Eyes, for intelligent visual and functional testing.

·         QA Automation with MCP Integration: Integrating QA automation processes with our Master Control Program (MCP) for centralized management and execution.

·         APIs & Integrations: Testing and integrating with REST and SOAP APIs to ensure seamless connectivity between systems.

·         Process Analysis Workflow Analysis: Analyzing complex business workflows to understand processes and identify pain points.

·         Identifying Automation Opportunities: Proactively identifying areas within the QA lifecycle and business processes that can be optimized through AI automation.

·         Excel Automation: Automating data-intensive tasks using Excel automation techniques