Quality Engineer, AI-Native

Quality Engineer, Ai-Native

The Quality Engineer, AI-Native is a core contributor on the quality engineering team, responsible for designing and owning automated test coverage across API, UI, and integration layers within Libra Solutions' AI-native delivery model. This role requires hands-on automation expertise and the ability to operate effectively as the quality safeguard in an agentic engineering environment — where AI agents contribute to code and test generation at scale and engineers own the judgment, coverage depth, and quality standards that define what ships.

This position reports to the Manager, Quality Engineering and can be based in any of our office locations in Denver, CO, Huntersville, NC, Rosemont, IL, or Las Vegas, NV. We welcome strong remote candidates, with occasional travel to Las Vegas as needed.

Position Responsibilities:

• Design, implement, and maintain automated UI and end-to-end test suites using Playwright / Type Script, covering critical user workflows across React and Angular front-end applications
• Write automated API tests against C# / ASP.NET Core REST endpoints using Type Script HTTP client libraries or C# / xUnit / NUnit test projects; validating request contracts, response schemas, business logic, and error handling
• Build and maintain integration tests that validate service-to-service interactions and data flows across the application stack, including SQL Server / Azure SQL data validation
• Contribute to test data strategy for the squad's automated suites: design repeatable, isolated data setup and teardown that enables reliable parallel test execution
• Use AI-assisted tools (Git Hub Copilot, Claude) with structured prompts to accelerate test scaffolding and test generation across API, UI, and integration layers
• Critically evaluate all AI-generated tests before committing — review for coverage completeness, assertion quality, and absence of false confidence
• Work within Libra's agentic engineering model: AI agents accelerate code generation at scale; QEs own the quality judgment that determines what ships
• Contribute to Azure Dev Ops CI/CD pipelines, ensuring automated suites run as mandatory quality gates on every build with actionable pass/fail signal
• Identify, document, and track bugs/defects in Jira with clear reproduction steps and test evidence; partner with engineers to drive timely resolution
• Participate in sprint ceremonies and contribute to test planning, risk assessment, and acceptance criteria definition alongside the Technical Product Owner
• Partner with offshore QE engineers on the squad to scope test cases clearly, provide review feedback, and maintain shared quality standards