AI Security Infrastructure Engineer

aegis-ai; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

aegis-ai, based in San Francisco, is a team of ex-Google engineers building scalable AI defense systems to stop adversarial AI attacks. You will architect the foundation for a constellation of AI agents, design the data pipelines, and scale infrastructure to ingest rich data from partners and monitor billions of events in real time.

You’ll orchestrate GPU workloads, fine-tune models with fresh threat data, and create a distributed network of intelligent agents.

Qualifications

• 2-10 years of experience in relevant roles.
• Experience scaling AI infrastructure or MLOps.
• Experience building in fast-paced environments.
• Bonus: experience with 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 monitor billions of events in real time.
• Design and operate AI infrastructure powering distributed network of intelligent agents.
• Build pipelines, fine-tune models with fresh threat data, and orchestrate GPU workloads.

Skills

AI infrastructure

MLOps

Fast-paced

Security

Adversarial environments

Job description

aegis-ai, based in San Francisco, is a team of ex-Google engineers building scalable AI defense systems to stop adversarial AI attacks. You will architect the foundation for a constellation of AI agents, design the data pipelines, and scale infrastructure to ingest rich data from partners and monitor billions of events in real time.

You’ll orchestrate GPU workloads, fine-tune models with fresh threat data, and create a distributed network of intelligent agents.