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AI Quality Engineer

Macpower Digital Assets Edge

Key Responsibilities:

  • Design robust test scenarios to validate AI agent behavior and performance.
  • nalyze Product Requirement Documents (PRDs) to extract testing requirements and ensure comprehensive coverage.
  • Conduct performance testing of AI systems to identify bottlenecks and ensure scalability.
  • Utilize agentic tools such as Windsurf, Claude Code, and Cursor for advanced automation tasks.
  • Implement AI-powered Selenium plugins, including Healenium and Applitools Eyes, for visual and functional testing.
  • Integrate QA automation with Master Control Program (MCP) for centralized management.
  • Test and integrate REST and SOAP APIs for seamless system connectivity.
  • nalyze business workflows to identify pain points and automation opportunities.
  • utomate data-intensive tasks using Excel techniques.
Technical Skills:
  • Industry tools : JIRA, AZDO (Azure DevOps), Balsamiq, MS Visio.
  • Automation tools : QTP, WinRunner, Visual Studio, Selenium.
  • Creating, executing, and managing automation scripts.
  • SQL Server, LoadRunner, JMeter for database management and performance testing.
  • Version control: Git, GitHub, GitLab.
  • CI/CD pipelines : Jenkins, Azure DevOps.
Functional Skills:
  • gile and Scrum methodologies.
  • End-to-end defect lifecycle management, including logging, tracking, and verifying fixes.
Behavioral Skills:
  • Strong analytical skills for PRD analysis, workflow review, and identifying AI automation opportunities.
Nice-to-Have:
  • Bachelor's degree in Computer Science, Information Technology, or related field.
Requirements:
  • 5+ years total relevant experience.
  • NY local resident preferred.
  • English native or bilingual proficiency.
Vacancy posted 3 days ago
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