Remote Quality Assurance Engineer
Fremont, Alameda County, California, 94536, USA
Listed on 2026-08-16
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Software Development
AI Engineer (Applied/Software), AI QA / Validation Engineer, Machine Learning/ ML 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 / Cold Fusion source code, pull requests, and technical designs to identify testable conditions, edge cases, and regression risk.
- Write detailed test cases and test plans that trace directly to code paths, business rules, and acceptance criteria.
- Partner with developers during code review to flag insufficient test coverage, untested branches, and high-risk changes before merge.
- Perform post-deployment validation to confirm application, API, and AI feature stability in production.
- Investigate production defects and data issues, perform root cause analysis, and drive resolution with Engineering.
Skills and Experience:
- 5+ years of experience in automated software testing
- 5+ years of experience in manual software testing
- 5+ years of experience in component-level testing
- 5+ years of experience in end-to-end testing
- At least 5 years of experience in SQL
- At least 3 years of experience in React
- At least 3 years of experience in Node.js
- At least 3 years of experience with Python source code in Git Lab
- At least 2 years of experience testing AI/ML
- At least 2 years of experience evaluating AI/ML
- At least 2 years of experience testing Retrieval-Augmented Generation (RAG)
- At least 2 years of experience testing generative AI features
- At least 2 years of experience testing workloads on Microsoft Azure
Education:
- High School Diploma required
- Bachelor’s degree (Advantage)
Ability to sit at a desk,utilize a computer, telephone, and other basic office equipment is required. This role is…
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