QA (Healthcare)

Location : Remote

3 5+ years of experience in Quality Engineering, Quality Assurance, or Software Testing.

3+ years of test automation development experience using automation tools.

2+ years of experience testing AI, machine learning, Generative AI, large language models (LLMs), or intelligent automation solutions.

Experience validating AI-generated outputs for accuracy, reliability, traceability, safety, and consistency.

5+ years of Quality Engineering or Software Testing experience.

Experience testing LLM, retrieval-augmented generation (RAG), chatbot, conversational AI, AI agent, or Generative AI applications.

Experience developing AI evaluation frameworks, test harnesses, and automated model validation processes.

Experience assessing AI hallucinations, prompt robustness, model drift, bias, and adversarial scenarios.

Healthcare, payer, provider, or health technology experience.

Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.

Experience with MLOps, model lifecycle management, or AI governance processes.

Familiarity with accessibility testing and user experience validation.

Experience supporting AI governance, audit, risk, security, or regulatory reviews.

Experience mentoring QA engineers and driving quality engineering best practices.