AI Engineer

Overview

We’re a team of ex-Google engineers who built some of the largest defensive platforms on the planet —
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. 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.

Architect a constellation of AI Agents — fast, cheap, and high-precision — that work together to detect and stop emerging threats. You’ll live deep in live threat data, evolving your agents on the fly. These agents will operate under an orchestration layer designed for rapid iteration and adaptive learning.

• The models change daily. Literally. What worked yesterday might be obsolete tomorrow.
• The adversaries are smart — and getting smarter. We’re in a real-time arms race against AI-enabled attackers crafting tailored, evasive payloads.
• There’s no playbook. We’re building new detection paradigms as fast as the threats evolve. It’s high-stakes, high-impact work — and you’ll be in the arena from day one.

If you’re the kind of engineer who lives for tough problems and fast feedback loops, this is your kind of challenge.

We want engineers who are outgrowing their current roles — people who want to build at the very edge of AI and cybersecurity
.

• You thrive in relentless environments where learning curves are steep and every day is a new challenge.
• You care about speed, execution, and complete thinking more than resumes or titles.
• You think in weeks and days, not months and quarters.

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.

• 2-10 years of experience
• Direct experience with AI/ML systems
• Experience building in a fast paced environments

• Experience security/detection systems
• Experience working in adversarial environments (T&S, security, fraud)