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Senior QA Engineer - API & AI/LLM TestingHCL Global SystemsUnited States
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Senior QA Engineer - API & AI/LLM Testing

HCL Global Systems
  • US
    United States
  • US
    United States

Über

Senior QA Engineer - API & AI/LLM Testing Mason, OH or Woodland Hills, CA - 5 days
Candidates should have experience in testing AI projects. We can try for candidates have below experience: • LM Evaluation & Benchmarking: Design and execute "LLM-as-a-Judge" frameworks to automatically score model outputs on continuous scales for accuracy, relevance, and tone. • Hallucination & Bias Testing: Develop testing workflows to rigorously stress-test models against data hallucinations, toxic language, and gender/racial biases. • Test Dataset Curation: Build and maintain high-quality, domain-specific golden datasets (input/output pairs) representing standard user queries and complex edge cases.
Overview We are looking for a Senior QA Engineer with strong experience in API testing, automation, and data validation, along with exposure to AI/LLM-based applications. The role involves working on API-driven healthcare systems, including claims, benefits, and data extraction workflows, as well as chatbot and AI-powered solutions.
Key Responsibilities: Design and execute test strategies for API-driven applications Perform end-to-end testing across APIs, databases, and UI layers Validate data extraction and transformation logic, including AI/LLM outputs Develop and maintain automation frameworks for API and UI testing Perform data validation using SQL and NoSQL (DBeaver, MongoDB, or similar tools) Test chatbot and AI/LLM workflows Integrate automated tests into CI/CD pipelines Collaborate with cross-functional teams to ensure quality Identify, debug, and track defects through resolution
Required Skills: Strong experience in API testing (Postman, REST APIs) Hands-on automation experience (RestAssured, Selenium, Playwright, Cypress, or similar) Solid SQL and NoSQL skills for data validation Experience with CI/CD tools (Jenkins, Git, etc.) Understanding of microservices and integration testing Experience in healthcare domain (claims, benefits, eligibility) Exposure to AI/LLM-based applications (chatbots, data extraction, NLP) Familiarity with cloud platforms (AWS/Azure)
  • United States

Sprachkenntnisse

  • English
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