Infrastructure Engineer

Summary

Aegis AI Security is a cybersecurity company focused on stopping adversarial AI attacks. The Infrastructure Engineer will architect and scale data and AI infrastructure for threat detection at internet scale, including data ingestion, GPU orchestration, model fine-tuning pipelines, and real-time feedback systems.

Responsibilities

• Architect the foundation for a constellation of AI Agents — fast, cheap, and high-precision — that work together to detect and stop emerging threats
• 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
• Design and operate the AI infrastructure that powers a distributed network of intelligent agents
• Build pipelines to fine-tune models with fresh threat data
• Orchestrate GPU workloads across dynamic clusters
• Implement real-time feedback loops that learn from the wild and continuously evolve
• Build the foundational system that lets AI fight adversarial AI from the ground up

Skills

• 2-10 years of experience
• Experience scaling AI infrastructure or MLOps
• Experience building in a fast paced environments
• Experience security/detection systems
• Experience working in adversarial environments (T&S, security, fraud)

Qualifications

Must Haves

• 2-10 years of experience
• Experience scaling AI infrastructure or MLOps
• Experience building in a fast paced environments
• Experience security/detection systems
• Experience working in adversarial environments (T&S, security, fraud)

Benefits

• On-site work in San Francisco, CA, New York, NY, or remotely in the United States
• Flat, flexible, and fast culture
• You’ll own your decisions and your tech stack
• Clear KPIs for success — but how you get there is up to you