Role · AI & Applied Research

LLM Engineer

Build the agents. Turn frontier models into a cyber-defense workforce that acts in the real world.

Apply for this role → Remote-first · salary + equity

What you'll do

Design, build, and evaluate the specialist agents — discovery, exposure, remediation, research, reporting — and the orchestration between them.
Build reasoning pipelines, tool use, and retrieval grounded in each customer's live environment.
Own evals. “Looks right in a demo” does not ship when being wrong breaches a customer.
Push what agents can do safely and autonomously — with human approval where the stakes demand it.
Turn new model capabilities into shipped product weeks after they land, not quarters.

What we're looking for

Deep, hands-on experience building with LLMs in production — agents, tool use, RAG, evals — not notebook demos.
Strong Python and a real feel for how modern models behave, fail, and can be steered.
You have shipped an AI system where being wrong had consequences — and built the guardrails and evals that proved it worked.
Rigor about measurement. You do not trust vibes.
You take open-ended, ambiguous problems and make them concrete.

Bonus points

Time at a frontier AI lab or a serious applied-AI team.
Security or offensive-security knowledge — exploits, vulnerability analysis, attack paths.
Built agent-orchestration frameworks or eval harnesses from scratch.
Published or shipped work the field actually uses.

Sound like you?

Tell us about yourself and attach your résumé. We read every application.