Infrastructure Engineer
AegisAI, San Francisco +2
- Pay
- Not listed by the employer
- Work type
- Onsite
- Level
- Not stated
- Area
- Infra, platform & SRE, Inference & ML systems, ML / AI engineering
- Posted
- Sep 23, 2026
Check my fit
See how your résumé lines up with this role: where you match, what's missing, and lines worth rewording.
About the role
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 $7B+ 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 the foundation for a constellation of AI Agents — fast, cheap, and high-precision — that work together to detect and stop emerging threats. AI is only as good as the data it learns from and in this role, you’ll be the architect responsible for making sure our system has the very best. You’ll build and scale the infrastructure that ingests rich data streams from partners, continuously scans the internet for new threats, and monitors billions of customer events in real time to extract high-signal behavioral patterns.
This is detection at internet scale, and it requires a mindset that thrives at the intersection of performance, precision, and adaptability. Beyond data ingestion, you’ll also design and operate the AI infrastructure that powers a distributed network of intelligent agents. That means everything from building pipelines to fine-tune models with fresh threat data, to orchestrating GPU workloads across dynamic clusters, to implementing real-time feedback loops that learn from the wild and continuously evolve. This isn’t just ML ops- it’s the foundational system that lets AI fight adversarial AI, and you’ll be building it from the ground up.
WHY THIS IS HARD (A.K.A. WHY IT’S FUN)
- 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.
WHY WE’LL WIN
- The market is massive — $5B+ and growing fast — and incumbents are too slow to adapt.
- We’ve done this before. Our team built the core technology behind Safe Browsing (5B+ users) and reCAPTCHA (protecting 5M+ websites) while at Google.
- This is our third time building a category-defining security business. We know how to scale both the tech and the company.
- AI and security are in our DNA. We don’t bolt it on — we build it in from day one.
- We only hire top performers. Most of our team were top 1% engineers at Google — if you were the best at your last job, you’ll feel right at home here.
- We move fast. No politics. No hierarchy. Just brilliant people solving hard problems, together.
Similar roles at other companies
$250K–$300K / yr
Posted Sep 10, 2026
Software Engineer - Applied AI
Cogent SecuritySan Francisco, CA +1
$100K–$300K / yr
Posted Sep 14, 2026
Research Engineer, ML Infrastructure
CognitionSan Francisco
Pay not posted
Posted Aug 6, 2026
$300K–$350K / yr
Posted 11 days ago
Listed on AegisAI's Ashby job board; checked 8 h ago. First seen by us 2 days ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.