Quality Engineer, AI-Native

Libra Solutions•Las Vegas, NV

3h•Hybrid

About The Position

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.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent professional experience
2+ years of hands-on test automation experience writing code-based test suites
Proficiency in Playwright and TypeScript for UI and end-to-end test automation
Experience writing automated API tests in code (TypeScript HTTP clients, C# / xUnit / NUnit, or equivalent), not just exploratory API testing with Postman
Working knowledge of C# / .NET applications as the system under test; ability to read C# code to understand expected behavior
Familiarity with SQL Server or Azure SQL for data validation within automated tests
Experience integrating automated tests into Azure DevOps CI/CD pipelines as quality gates
Hands-on experience with AI tools (GitHub Copilot, Claude, ChatGPT) for test scaffolding, test data generation, and defect analysis
Understanding of the QE role in an agentic delivery model: able to adapt test strategy and coverage to environments where AI agents contribute significantly to code generation, with heightened focus on validation depth, assertion quality, and critical evaluation of AI-generated test output
Creative problem-solving and troubleshooting skills
Self-motivated, ownership-oriented, and technically precise; treats test reliability as a first-class concern
Must be authorized to work in the U.S

Responsibilities

Design, implement, and maintain automated UI and end-to-end test suites using Playwright / TypeScript, covering critical user workflows across React and Angular front-end applications
Write automated API tests against C# / ASP.NET Core REST endpoints using TypeScript 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 (GitHub 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 DevOps 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