Libra Solutions
Quality Engineer, AI-Native
- Compensation
- Not disclosed
- Location
- United States
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Industrial engineering
- Posted
Skills
Must have
- 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 o
- Creative problem-solving and troubleshooting skills
- Self-motivated, collaborative, and ownership-oriented with strong verbal and written communication skills
- Must be authorized to work in the U.S.
Full description
About UsWhen life gets hard, we make it easier! Libra Solutions helps overcome the burdens created by slow-moving legal processes. Combining technical innovation and financial strength, we help speed up cumbersome workflows and ease financial barriers for our customers. Through the MoveDocs personal injury solutions platform, Libra integrates and streamlines medical, financial, and professional services for personal injury cases. Our mission is to help personal injury victims receive the medical care and personal funding needs they require, and to help streamline the process for the attorneys and medical providers that serve these victims. Libra operates under the MoveDocs, Oasis Financial and Probate Advance brands. We are proud of our mission and passionate about applying technology to the challenge of making healthcare more accessible. Together, under the Libra Solutions banner, we have relationships with over 50,000 attorneys and over 12,000 healthcare providers nationwide, which gives us an amazing platform to service our customers.
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 / 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 pod’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