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Most AI/ML engineer job descriptions fail in the first five lines. They list tools such as TensorFlow, Kubernetes and RAG but never say what the engineer will build. A strong AI/ML engineer job description does four things: it names the business problem, separates must-have skills from nice-to-have ones, matches experience to seniority, and states pay and work mode up front.