1 min readfrom Data Science

Any good resources for Agentic Systems Design Interviewing (and also LLM/GenAI Systems Design in general)?

I am interviewing soon for a DS role that involves agentic stuff (not really into it as a field tbh but it pays well so). While I have worked on agentic applications professionally before, I was a junior (trying to break into midlevel) and also frankly, my current company's agentic approach is not mature and kinda scattershot. So I'm not confident I could answer an agentic systems design interview in general.

I'm not very good at systems design in general, ML or otherwise. I have been brushing up on ML Systems Design and while I think I'm getting a grasp on it, it feels like agentic stuff and LLM stuff to an extent shifts and it's hard not to just black box it and say "the LLM does it", as there is very little feature engineering, etc to be done, and also evaluation tends to be fuzzier.

Any resources would be appreciate!

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