QA Engineer

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Data Serv/xFact is seeking a QA Engineer to serve as the subject matter expert for Quality Assurance. You will test automation for our enterprise web, mobile, and backend products, and help evaluate and improve AI/LLM-powered features, including how they’re tested, measured, and released. You’ll ensure the quality and reliability of our products while helping define and execute the crucial testing and evaluation workflows for our AI-driven features.

We care. We coach. We lead. We continue to use this approach in all we do for our culture. It’s truly the people who make working here great. We are a collaborative environment and supportive of one another, providing flexibility when needed. As lifelong learners, promoting from within is a priority to provide our team members opportunities for internal mobility and growth.

Data Serv/xFact offer a competitive compensation plan including paid holidays, PTO, discretionary bonuses, 401K (with match), medical, dental, vision, life, STD, and LTD benefits along with many other inclusive benefits and perks!

xFact and Data Serv offer a collaborative, mission-driven workplace where technology supports real people and real outcomes. With nearly 40 years of experience and a growing footprint in the public sector, our teams work together to build practical, innovative solutions that matter. We value trust, clarity, and impact—and we give our employees the opportunity to do meaningful work, grow their skills, and contribute without unnecessary complexity.

• team player
• excellent written and verbal communicator
• tech savvy
• strategic thinker
• service oriented
• motivated
• self-disciplined
• professional
• flexible in a fast-paced environment
• works independently with minimal supervision
• exhibits strong work ethics
• detail oriented
• handles demanding situations/timelines
• organized
• responsible/dependable
• willing to receive/provide feedback to improve performance
• supportive
• strong desire to support and mentor

• Test Planning & Execution - Design, develop, and execute manual and automated test plans and test cases for enterprise features across web, mobile, and backend systems.
• Regression & Release Testing - Run regression suites before releases to ensure existing functionality remains stable as new features and models are deployed.
• Defect Management - Identify, document, prioritize, and track defects using tools like Jira, and collaborate with developers to drive timely resolution.
• CI/CD & Process Improvement - Integrate tests into CI/CD pipelines (e.g. Git Lab CI) and participate in continuous improvement of QA processes, tools, and methodologies.
• AI & LLM Evaluation
  • Evaluation Planning - Partner with Product Managers and Data Scientists to define scope, metrics, and goals for evaluating AI and LLM-powered features (e.g., accuracy, robustness, fairness, hallucination rate, safety).
  • Data Curation & Preparation - Coordinate collection, labeling, and preparation of datasets used for AI model testing and human‑in‑the‑loop evaluations.
  • Evaluation Execution & Coordination - Help organize evaluation sprints, red‑teamings sessions, and feedback loops, acting as a point of contact between AI/ML, Product, QA, and external evaluators (if applicable).
  • Results Analysis & Reporting - Compile and summarize evaluation results, providing clear, actionable feedback on model performance and readiness for production deployment.
  • Documentation & Traceability - Maintain detailed documentation of evaluation criteria, test data, prompts, and results, ensuring traceability and auditability for AI/LLM releases.

• Use LLMs and AI tools (e.g., ChatGPT, Copilot, AI testing platforms) to generate test ideas, draft test cases, and assist with log/defect analysis, then validate and refine these outputs.
• Help evaluate and adopt AI‑powered QA tools (e.g., self‑healing locators, intelligent…