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 secure 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
- Strong collaboration skills across technical teams

Elevate AI quality assurance through strategic validation and robust evaluation methods at Nexaminds.

📌 Lead AI Quality Engineer at Nexaminds (Edmonton)
🏢 Worky
📍 Edmonton