We’re a team of ex-Google engineers who built some of the largest defensive platforms on the planet —
Safe Browsing
and
reCAPTCHA
. Now, we’re striking out on our own to tackle an even bigger challenge: stopping the new wave of
adversarial AI attacks
already hitting organizations today.
We're going after a
$5B+ market
, ripe for disruption. Traditional detection methods are too slow to keep up. Adversaries are using AI to craft customized, high-evasion attacks — and old-school rules-based systems don’t stand a chance.
Your Mission:
Architect a
constellation of AI Agents
— fast, cheap, and high-precision — that work together to detect and stop emerging threats. Your job is to create the orchestration layer to enable a heterogenous set up agents to collaborate to investigate threats. You’ll also be Aegis’ resident expert model selection, customization and strategy. You should have deep hands on experience quantizing, pruning, distilling, serving and orchestrating models at scale.
If you’re the kind of engineer who
lives
for tough problems and fast feedback loops, this is your kind of challenge.
What We’re Looking For:
We want engineers who are
outgrowing
their current roles — people who want to build at the very
edge of AI and cybersecurity
.
Despite 30+ years of combined AI experience on the founding team, we know today’s landscape changes
too fast
to rest on credentials. We prioritize
adaptability and speed of learning
above all else.
If you’re hungry to build AI that fights AI, and want to work with a team that moves at the speed of the real world, come talk to us.
Requirements:
1-3 Years hands on experience customizing LLM models
5+ Years Building AI/ML systems
Bonus:
Experience security/detection systems
Experience working in adversarial environments (T&S, security, fraud)
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