Hey everyone, I had an interview recently where they asked if I had experience with agentic AI. I told them most of my background is in building AI systems from scratch training models, working with architectures like CNNs, experimenting with different approaches, etc. And the interviewer basically said that building AI from scratch (like implementing and training your own CNN models) is kind of “old-fashioned” now. That honestly caught me off guard. I always thought understanding and building models from the ground up was a solid foundation. But now it feels like the industry focus has shifted heavily toward agentic AI, orchestrating LLMs, connecting tools, building multi-agent workflows, using existing foundation models instead of training your own. So now I’m confused about expectations. When companies ask for “agentic AI experience,” what are they really looking for? Learning specific frameworks? Just knowing how to wire APIs together? Designing autonomous workflows? submitted by /u/CogniLord
Originally posted by u/CogniLord on r/ArtificialInteligence
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