Wells Fargo Intern Data Scientist Interview Experience — Expected a Relaxed Research Chat, Got LLM and AI Agent Questions

I just finished my Wells Fargo interview. The role is Applied Computational Intelligence intern. Before the interview I saw on RedNote that it's just a chat about your research and very relaxed, so I let my guard down, prepared a bit around my resume and went in.

It turned out they asked these questions:

1. Behavioral question. I gave an example from my research, and they followed up three times on the specific model, my coding habits, and so on.
2. Another behavioral question, again digging into my research, this time about diffusion architectures.
3. Given a pre-trained LLM, how would you use it / evaluate it / adjust it?
4. What are the components of an AI agent?
5. When you write code, how do you organize functions / classes / files, do you write comments, and what files do you include when you upload to GitHub?
6. Questions for the interviewer.

My resume has no LLM experience, so I basically just answered randomly. For reference only.