AI engineering in 2026 is 10 jobs in one — data scientists need systems thinking, not everything
mdancho84 · x · 2026-10-19
mdancho84 argues the 2026 AI engineer role bundles roughly ten skill sets: Python, SQL, ML/DL, LLMs and prompt engineering, RAG, MLOps, data engineering, system design, cloud, and deployment. The paradigm shift: from data→model→prediction to data→models→LLMs→tools→agents→APIs→infrastructure→product. His advice for data scientists: you don't need to master everything, but you must understand how the pieces connect — the move is from building models to building systems that do work.
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