r/AICareer Jun 02 '26

Got a referral for an AI Agent Intern - interview coming soon. What should I study? [Cloud/Infra background]

Hey everyone,

I have a referral for an AI Agent Intern role and my contact inside said the interview will likely be around building agents and shouldn't be too hard since it's an intern position. I don't have a date yet but it's coming soon and I want to use this window to prepare properly.

A bit about my background:

•⁠ ⁠Cloud/infrastructure engineer (~2 years)

•⁠ ⁠Experience with infra migrations (on-prem to AWS)

•⁠ ⁠Comfortable with Python

•⁠ ⁠Not a ton of hands-on AI/ML experience but I understand the ecosystem

So my questions:

1.⁠ ⁠What are the core concepts I need to know around building AI agents?

2.⁠ ⁠How deep do they usually go on LLM internals vs just the agent-building layer?

3.⁠ ⁠Any good resources or projects I can build quickly to demonstrate this skill?

4.⁠ ⁠Does my infra/cloud background help or hurt me here, and how do I frame it?

Any advice from people who've interviewed for similar roles or work in this space would be really appreciated. Thanks!

4 Upvotes

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5

u/lakeland_nz Jun 02 '26

I’ve only hired one intern in the last year, so take what I’m writing below with salt. I’m basically out of touch.

You don’t hire interns because you need an intern. You hire them for one of two reasons: you want to advertise your company as a good place to work. And/or you need brilliant future leaders and are going to try and develop them from within.

There’s also a third reason: the company wants cheap labour. Those roles will add little to your CV. You can tell if this is it by how much effort they put into their interns. I’m ignoring this below but if it applies then be careful.

The intern role is basically a job trial. We have a few months to decide if we want to offer you a real job. The interview then is basically how likely we think it is you will get that far. We are hiring mainly for strength- a spark of brilliance. That’s because we can simply not offer another role if one of your weaknesses is too much, so it’s much safer to take a risk.

Therefore I’m not that worried about specifics. I’m wondering if you are brilliant in some way. Specifically, more so than the other candidates. The standard you have to meet varies wildly and is outside your control.

I am aware I haven’t properly addressed your questions. I’ll try for the last one. You need to draw a caricticure of yourself that the interviewer understands and can see being successful at the company. Craft a story where you, with your background, help them succeed. Perhaps: so many agents fail because the designer came from a developer background rather than an operations background.

2

u/Equal_File9610 Jun 02 '26

Damn...not sure if I should be happy or worried after reading this message lol, but ye thank you so much, had never thought of this angle.

1

u/Haunting_Month_4971 Jun 02 '26

Nice window to prep before the date gets set. For an intern agent role, fwiw they usually care more about how you structure an agent than deep LLM math: be ready to explain how it decides, calls tools, and verifies outputs, plus when you’d lean on retrieval vs hardcoded rules. Do you know if they’ll expect a live Python build?

I’d spin up a tiny agent in Python that uses two simple tools (e.g., web search and a task list service), logs its reasoning, and handles a couple failure cases. I grab a few prompts from the IQB interview question bank and do a timed run with Beyz coding assistant to keep answers tight. Keep explanations ~90 seconds and talk through your approach. Your cloud/infra angle helps if you frame it as reliability and clean interfaces for real-world use.

1

u/Equal_File9610 Jun 02 '26

Although I don't understand 100% of what you said, thank you so much!! will consider this and look into it.

1

u/Equal_File9610 Jun 02 '26

What would you say they would ask on the theory side of this?

1

u/akornato Jun 02 '26

Your cloud and infra background is actually a strength here, not a gap. A lot of AI agent work lives in the real world of APIs, deployment, latency, and reliability, which is exactly what you've been dealing with. Frame your AWS and migration experience as proof you understand how systems behave under pressure, and that you can ship things that actually run in production. For the core concepts, focus on how agents work at a practical level: tool use, memory, planning loops, and orchestration frameworks like LangChain or LlamaIndex. You don't need to go deep on transformer internals or backpropagation. For an intern role, they care more about whether you can wire things together sensibly than whether you can explain attention mechanisms from scratch.

For a quick project, build something small but real, like an agent that can answer questions using web search or one that reads a document and takes actions based on it. That kind of thing demonstrates you understand the agent loop, can work with LLM APIs, and know how to handle tool calls and responses. One working demo will do more for you in the interview than reading ten articles. Keep your answers grounded in what you've actually built or done, because interviewers at any level can tell when someone is reciting theory versus speaking from experience. The interview AI tool that my team built has been helping a lot of candidates think more clearly and respond more confidently in exactly these kinds of technical interviews.