Real-Time AI Security Infrastructure Engineer

Aegis AI; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Aegis AI is building a scalable AI defense platform in San Francisco that ingests vast threat data to detect adversarial AI attacks in real time. You will architect and scale the underlying ML infrastructure and distributed AI agent network from day one.

We seek engineers who thrive on tough problems, move quickly, and can continuously evolve with changing threat landscapes. This role focuses on performance, precision, and adaptability in a cutting-edge security context.

Qualifications

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

Responsibilities

• Architect the foundation for a constellation of AI Agents and scalable AI infrastructure.
• Ingest rich data streams from partners and continuously scan the internet for threats.
• Monitor billions of customer events in real time to extract high-signal behavioral patterns.
• Design and operate distributed AI infrastructure powering a network of intelligent agents.
• Build pipelines, fine-tune models with fresh threat data, and orchestrate GPU workloads.

Skills

MLOps

AI Infrastructure

Fast-paced Environment

Security / Detection Systems

Adversarial Environments

Job description

Aegis AI is building a scalable AI defense platform in San Francisco that ingests vast threat data to detect adversarial AI attacks in real time. You will architect and scale the underlying ML infrastructure and distributed AI agent network from day one.

We seek engineers who thrive on tough problems, move quickly, and can continuously evolve with changing threat landscapes. This role focuses on performance, precision, and adaptability in a cutting-edge security context.