I've been thinking a lot about the AI job market lately.
Everyone says "learn AI", but which skills actually matter?
After talking with hiring managers and seeing what's actually in demand, here are
the 3 skills that separate candidates:
- RAG Implementation — Real document processing and vector databases, not just API calls
- AI Observability — Tracking and debugging AI systems in production
- Cost Optimization — Making AI affordable to run at scale
Notice what's NOT on this list? "Prompt engineering." Everyone claims that.--
If you want to go deeper, I'm hosting a free workshop this Saturday with Victor
Eduoh from Laand.
"How to Land AI Engineering Jobs."
Saturday, March 22nd. 4 PM UTC. Free.
Register here: http://lu.ma/mb-events
Even if you never take my bootcamp, this workshop will change how you approach AI
jobs.

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