IDEA Factory - QA Engineer

University of Maryland•College Park, MD

8d•$100,000 - $120,000

About The Position

Organization's Summary Statement: Maryland Technology Enterprise Institute (MTech) seeks a professional who will ensure our products are reliable, functional, and robust through comprehensive testing across UI, API, and AI model behaviors. You'll play a crucial role in maintaining the quality standards that support our mission-critical educational programs. The A. James Clark School of Engineering at the University of Maryland catalyzes high- quality research, innovation, and learning, preparing our students to create innovations that will address the 21st century Grand Challenges (e.g., energy, environment, security, and human health) and improve the human condition. The Clark School is dedicated to leading and transforming the engineering discipline and profession, accelerating entrepreneurship, and transforming research and learning activities into innovations that benefit millions. Other: As a QA Engineer at xFoundry, you will ensure our products are reliable, functional, and robust through comprehensive testing across UI, API, and AI model behaviors. You'll play a crucial role in maintaining the quality standards that support our mission-critical educational programs.

Requirements

Master's in a related field. Bachelor's degree with 3+ years of exceptional experience will be considered.
3+ years of professional experience.
Strong experience in software quality assurance with 3+ years professional experience
Expertise in test automation frameworks and methodologies
Experience testing APIs, web applications, and complex integrated systems
Knowledge of AI/ML testing concepts and model validation techniques
Python (for test automation and AI testing)
JavaScript/TypeScript (for web application testing)
Testing frameworks: Selenium, Pytest, Jest, Cypress, Playwright
API testing tools: Postman, REST Assured, Newman
Performance testing: JMeter, LoadRunner, K6
Test management: TestRail, Jira, Azure Test Plans
AI testing tools: Great Expectations, MLflow, W&B (Weights & Biases)

Responsibilities

Create, execute, and maintain detailed test plans for complex AI-integrated applications
Develop and document edge case requirements to guide development processes
Implement and manage test automation frameworks across multiple technology stacks
Design testing strategies specific to AI/ML model behaviors and outputs
Validate LLM responses and RAG system accuracy
Test AI integration points and data flow consistency
Monitor AI model performance and regression testing

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