QA Automation Engineer - GenAI / LLM Testing (Healthcare)

Quality Engineering

Test Automation

AI / ML Testing

Generative AI / LLM Testing

Python / Java

API Testing

Integration Testing

Data Validation

Responsible AI

AI Model Evaluation

Test Framework Development

CI/CD

Agile / SDLC

Mandatory Skills Description

3–5+ years of experience in Quality Engineering, Quality Assurance, or Software Testing, including 3+ years in test automation development and 2+ years testing AI, machine learning, Generative AI, LLM, or intelligent automation solutions. Strong experience designing automated test frameworks, validating AI-generated outputs, and performing API, integration, and data testing. Proficiency in Python, Java, or similar programming languages, with solid knowledge of Agile, SDLC, CI/CD, and Responsible AI principles, including fairness, bias detection, transparency, explainability, and human oversight. Strong analytical, communication, and cross-functional collaboration skills are required.

Experience testing RAG pipelines, chatbots, conversational AI, AI agents, and LLM-based applications, including hallucination detection, prompt robustness, model drift, bias, and adversarial testing. Knowledge of AI evaluation frameworks, test harnesses, MLOps, AI governance, and cloud platforms such as Azure, AWS, or GCP. Experience within healthcare, payer, provider, pharmacy, claims, or other regulated environments is preferred. Familiarity with accessibility testing, audit and compliance processes, and mentoring QA engineers is a plus.

AI Tool Expectations: Consistent use of enterprise-approved AI tools, including GitHub Copilot and Microsoft 365 Copilot, targeting a minimum of 90% weekly utilization to enhance testing, documentation, analysis, and delivery efficiency.

Exceptional communication skills.

Ability to deliver exceptional customer service with a positive attitude.