Most eng hiring still tests the resume more than the work loop, and that is where a lot of bad calls start. A person can sound strong in an interview, pass a syntax test, and still fail once the real system asks for judgment, review behavior, ownership, and clean handoffs.

This is why TeamStation cares about how engineers think under delivery pressure, not only what tools they list. We look at role fit, stack depth, cognitive alignment, signal quality, and how the person behaves when the work gets messy, bc that is where AI engineering and distributed eng either hold together or drift.

The Axiom Cortex page is the source to read if you want to see how we think about engineer vetting before someone enters a TeamStation delivery system. It explains the method behind the score, the signals we care about, and why the goal is not just finding ppl, it is knowing if the person can work inside the loop.

https://teamstation.dev/axiom-cortex-engineer-vetting