Remote Quality Assurance Engineer

Who We Are \- Motivated by Purpose. Powered by Clinical Expertise. Founded in 1983, we’re a clinically\-driven, tech\-enabled utilization management company offering expert clinical reviews, regulatory guidance, and actionable insights to healthcare organizations. Excellence starts with our people. WE OFFER A competitive compensation package Benefits include healthcare, vision, and dental insurance A generous 401(k) match Paid vacation, PTO, and holidays Growth and training opportunities An award\-winning remote work environment POSITION OVERVIEW Quality Assurance Engineer is a corporate function within the Engineering organization responsible for the quality, reliability, and release\-readiness of software products built on modern technologies, including cloud\-native applications hosted on Microsoft Azure and AI/ML\-enabled features. **Roles:** Primary role is testing software applications created or updated by the Application Development team. Conduct structured peer and code reviews of test artifacts to ensure adherence to standards and best practices. Design, create, and maintain realistic and compliant test data sets, including synthetic data for healthcare (PHI\-safe) scenarios. Design and execute validation strategies for AI/ML and Retrieval\-Augmented Generation (RAG) features, including model quality, grounding, and safety evaluation. **Major Responsibilities or Assigned Duties:** Participate in the test management lifecycle, including test planning, execution tracking, defect management and reporting. Provide input on release readiness criteria to Engineering and Product stakeholders. Maintain the regression suite after every release. Develop and maintain automated test suites in Python (e.g., pytest) and JavaScript/Node.js, integrated into CI/CD pipelines. Write and review complex SQL queries, joins, and aggregations to validate data accuracy, completeness, and reconciliation across systems. Validate data flows across source systems, transformation layers, and reporting/consumption layers. Ensure test data supports both functional automation and AI/ML / RAG evaluation needs. Design and execute test strategies for AI/ML and Retrieval\-Augmented Generation (RAG) pipelines and AI\-assisted features, including retrieval accuracy, grounding, hallucination, output quality, bias/safety, and drift (regression) checks. Build and maintain automated evaluation harnesses and datasets for AI/ML features, including prompt/response scoring and metric tracking. Validate applications, APIs, and test environments deployed on on\-prem data center, Microsoft Azure, including Azure\-hosted services, data stores, and CI/CD pipelines. Read and interpret React / Node.js / Python / ColdFusion source code, pull requests, and technical designs to identify testable conditions, edge cases, and regression risk. Write detailed test cases and test