Transform AI quality assurance at Nexaminds as a Lead AI Quality Engineer. This remote role emphasizes the validation of Large Language Models and innovative AI systems.

Nexaminds is seeking a Lead AI Quality Engineer to spearhead the quality validation strategy for cutting-edge AI technologies, including LLMs and RAG systems. With over 7 years of experience in Quality Engineering or related fields, the ideal candidate will excel in designing automated validation frameworks and measurement techniques suited for non-deterministic AI systems. You will work closely with cross-functional teams to ensure the delivery of safe and reliable AI solutions.

Key Responsibilities:
• Define and lead validation strategy for AI systems
• Build automated validation pipelines within CI/CD environments




• Establish evaluation frameworks for model accuracy
• Design prompt regression tests for continuous monitoring
• Introduce semantic validation techniques for quality assurance

Requirements:
• 7+ years in Quality Engineering or Software Development
• Experience with LLMs and AI validation frameworks
• Proficiency in Node.js for automation tool development
• Familiarity with MongoDB for managing validation data
• Robust collaboration skills across technical teams

Elevate AI quality assurance through strategic validation and robust evaluation methods at Nexaminds.
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📌 Lead AI Quality Engineer at Nexaminds (Manitoba)
🏢 Worky
📍 Manitoba