Jobs via Dice · 17 hours ago
AI QA Engineer
Brooklyn, NY
Full-time
Onsite
Entry, Mid LevelDice is the leading career destination for tech experts at every stage of their careers. Our client, Softratech LLC, is seeking an AI QA Engineer to design test scenarios, analyze product requirements, and conduct performance testing of AI systems.
Computer Software
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
Qualification
Required
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
Company
Jobs via Dice
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase