Contact Details:
Vimala
Email:
Cell:
Job Title: AI Quality Engineer x 2
Location: NYC NY
Duration: 12 Months
Years of Experience: 8 Years
Required Hours/Week: 40 Hours/Week
Duties and Responsibilities:
- 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 Testing: Utilizing agentic coding 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.
Contact Details: Vimala Email: Cell: Job Title: AI Quality Engineer x 2 Location: NYC NY Duration: 12 Months Years of Experience: 8 Years Required Hours/Week: 40 Hours/Week Duties and Responsibilities: AI Agent Test Scenario Creation: Designing robust and relevant test ...
Contact Details:
Vimala
Email:
Cell:
Job Title: AI Quality Engineer x 2
Location: NYC NY
Duration: 12 Months
Years of Experience: 8 Years
Required Hours/Week: 40 Hours/Week
Duties and Responsibilities:
- 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 Testing: Utilizing agentic coding 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.
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