Solid understanding of engineering challenges for deploying machine learning systems to production. Solid understanding of systems, software, and data engineering best practices. Proficiency with cloud-based services. Proficiency in Python or another major programming language. Up-to-date with recent advances in Machine Learning Engineering. Excellent written and verbal technical communication skills. Experience building backend systems, event-driven architectures, and REST/HTTP applications. Experience building solutions with LLMs (RAG, fine-tuning). Experience building AI agents and AI-powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI). Experience leading teams and managing careers.