Everybody keeps saying the Generative AI job market is on fire. Fine — but almost nobody tells you what those jobs actually ask for once you get past the buzzwords. So I stopped guessing and pulled 95 live "Generative AI" postings from Google Jobs (US), then counted what really shows up in the titles and the full descriptions. The interesting part wasn't the individual skills — it was which ones keep showing up together. That's the bit that should change how you prep.
Here's what I found, receipts included.
TL;DR
A "Generative AI" job today is mostly an applied engineering job: building with existing models, not training new foundation models from scratch.
Everything is converging on one thing: agentic RAG systems. RAG and agents barely show up apart anymore — 78% of the "agent" postings also mention RAG.
