Train a red-team LLM with RL to find jailbreaks in your safety-tuned model, then feed the discovered attacks back into safety training.
A red-team model that learns over many episodes which attacks bypass your filters is only useful if it explores instead of farming one exploit, and only safe if every discovered attack becomes target training data.
Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.
A red-team model that learns over many episodes which attacks bypass your filters is only useful if it explores instead of farming one exploit, and only safe if every discovered attack becomes target training data.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
