I see.

> LLM is called six times to extract structured information

Followed by

> The default model is gemma3:4b, running at temperature 0.1 — low, supposedly nudging the model toward deterministic outputs.

This is exactly why hiring is even more broken: Because the people looking for candidates are also just as unqualified if not, more.

Using much weaker LLMs to replace the person in charge of the final judgement call is the wrong solution as this is a plain old social problem.

Even if you wanted to use LLMs for this case, the default configuration, model choice is laughably flawed. This LLM can’t be trusted as it doesn’t even know what it is reading.

The correct solution is either advanced OCR with keyword ranking with a basic filter or a far stronger LLM that excels at document / vision parsing benchmarks with an experienced person making the final judgement call in case the technology misses a critical detail.

Rather than using this less accurate one that hallucinates out its decision depending on a dice roll.