Quality Engineer, Ai Native

Salary: $120,000

Must Haves:

• 2+ years of hands-on test automation experience
• Professional experience using AI-assisted tools (Copilot, Claude, ChatGPT) for test generation and analysis
• Strong Playwright + TypeScript experience for UI / E2E testing
• Experience writing code-based API tests (TypeScript or C# with xUnit/NUnit)
• Working knowledge of C# / .NET applications (ability to read and understand code)
• Experience testing REST APIs (contracts, schemas, business logic, error handling)
• Experience validating data using SQL Server or Azure SQL
• Hands-on experience integrating automated tests into Azure DevOps CI/CD pipelines
• Strong judgment reviewing and validating AI-generated tests

Pluses:

• Experience in agentic or AI-native engineering environments
• Exposure to React and Angular front-end applications
• Experience with integration testing across distributed services
• Prior work partnering with offshore QE teams
• Background in highly regulated or workflow-heavy domains (fintech, legal tech, healthcare)
• Strong ownership mindset with emphasis on test reliability and quality gates

Job Description:

Insight Global is seeking a Quality Engineer, AI Native for a leading technology-driven solutions organization operating at the intersection of legal, healthcare, and financial services. This engineer will play a critical role in owning automated quality coverage across UI, API, and integration layers in an AI-accelerated development environment. The ideal candidate is highly technical, automation-first, and confident applying strong quality judgment in environments where AI agents contribute to code at scale. This is an excellent opportunity for a QE who wants to shape what “quality” means in a modern, AI-native delivery model while working on impactful, mission-driven products.

Day-to-Day:

• Design, build, and maintain automated UI and E2E tests using Playwright/TypeScript
• Develop and maintain automated API tests for ASP.NET Core services
• Create integration tests validating service-to-service data flows
• Design reliable test data strategies for parallel execution
• Leverage AI tools to accelerate test creation while critically validating outputs
• Serve as the quality gatekeeper in an AI-driven development model
• Integrate and maintain automated test execution in Azure DevOps pipelines
• Log, track, and partner on defect resolution in Jira
• Participate in sprint planning, risk assessment, and acceptance criteria definition
• Collaborate with onshore and offshore QEs to maintain shared quality standards