Why I Built LLMInterview.com

In 2026 you can be fully qualified for an AI or LLM engineering job and still have no idea what the interview loop will actually test.

That is a strange kind of failure. The person can do the work. They have read the papers, shipped the retrieval pipeline, argued about evaluation with people who care. And they still walk into a loop blind.

The usual explanation is that they did not prepare enough. I do not think that is it.

There is more preparation material available now than anyone can read. Question banks, system design walkthroughs, transformer explainers, take-home archives, mock interview videos. The shortage is not content.

The shortage is prioritization.

Two companies can post nearly the same title and run completely different loops. One spends most of its time on evaluation and failure modes. The other spends it on distributed training. A third mostly wants to know whether you can hold a product conversation without hiding behind the model. The title does not tell you which one you are walking into. The recruiter often does, in passing, in a sentence nobody wrote down.

So I built LLMInterview.com.

What it does

You give it the actual job description and whatever the recruiter told you. It maps the loop: the rounds you are likely to face, what each one is testing, where you look most exposed, and what to prepare first.

That last part is the point. Not everything you could study. The order.

Predictions, not promises

It does not know your loop. It cannot. No tool reading a job posting can tell you what a particular panel will ask on a particular Thursday.

So it separates two things and keeps them separate. What the recruiter confirmed is labelled confirmed. What was inferred from the posting, the team, and the shape of the role is labelled inference. You can see which is which, and weigh them differently.

Why saying unknown is a feature

When there is not enough signal, it says unknown.

That was a deliberate decision, and it is the one I would defend hardest. A confident wrong prediction is worse than an admitted gap, because the candidate spends a week on the wrong thing and finds out in the room. An honest unknown sends you back to the recruiter with a better question.

Which is usually where the missing information was sitting anyway.

What it is not

It is not a promise of an offer, and it does not write your answers. It is a map drawn from the evidence you already have, arranged so you can decide where your next few evenings go.

If you have a loop coming up, bring the job description and the recruiter notes: llminterview.com.