Quality Engineer – Healthcare AI/GenAI Testing

Talent Groups

United States

Vor Ort

USD 120.000 - 160.000

Vollzeit

vor 7 Stunden
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Zusammenfassung

Talent Groups is seeking a seasoned QA / Quality Engineering professional with a strong focus on AI/GenAI/LLM testing. The role demands hands-on validation of AI outputs, bias, safety, and model drift, plus building evaluation frameworks and automation harnesses for robust AI systems.

Ideal candidates will have 5+ years in QA/QA engineering, 3+ years in test automation, and 2+ years in AI testing across RAG, chatbots, and conversational AI.

Qualifikationen

  • 5+ years of QA / Quality Engineering experience.
  • 3+ years of test automation development experience.
  • 2+ years of AI/ML, GenAI, or LLM testing experience.
  • Hands-on testing of RAG, Chatbots, Conversational AI, and AI Agents.
  • Validate AI outputs for accuracy, reliability, safety, and consistency.
  • Test hallucinations, prompt robustness, bias, model drift, and adversarial scenarios.
  • Develop AI evaluation frameworks, test harnesses, and automated validation processes.
  • Experience with Azure, AWS, or GCP.
  • Knowledge of MLOps, AI Governance, security, and compliance.
  • Healthcare / Payer / Provider domain experience preferred.

Kenntnisse

QA
Quality Engineering
Test Automation
AI/GenAI/LLM testing
RAG/Chatbots/Conversational AI testing
AI evaluation frameworks
MLOps
AI Governance & Compliance
Healthcare domain experience

Tools

Azure
AWS
GCP
ML Ops tooling

Jobbeschreibung

  • 5+ years of QA / Quality Engineering experience.
  • 3+ years of test automation development experience.
  • 2+ years of AI/ML, GenAI, or LLM testing experience.
  • Hands-on testing of RAG, Chatbots, Conversational AI, and AI Agents.
  • Validate AI outputs for accuracy, reliability, safety, and consistency.
  • Test hallucinations, prompt robustness, bias, model drift, and adversarial scenarios.
  • Develop AI evaluation frameworks, test harnesses, and automated validation processes.
  • Experience with Azure, AWS, or GCP.
  • Knowledge of MLOps, AI Governance, security, and compliance.
  • Healthcare / Payer / Provider domain experience preferred.
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