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The opportunity
As a Senior QA Engineer - AI Systems in the AI Hub, you will test, evaluate, and improve AI products before they reach clients and production. You will validate end-to-end AI solutions (LLMs, agents, RAG, OCR/document intelligence, traditional ML, prompts/tools, and data pipelines) and the human workflows around them.
Your key responsibilities
You will partner with AI engineers, full stack/data/DevOps teams, product and security to define quality and risk, build evaluation approaches, surface failure modes, and ensure solutions are reliable, safe, explainable, and enterprise-ready.
Skills and attributes for success
Define and execute AI QA strategies for PoCs, MVPs, and production (models, prompts, retrieval, agents/tools, data flows, user workflows, ops)
Translate business needs into measurable quality criteria, evaluation metrics, acceptance tests, and release gates