Aegis AI
Infrastructure Engineer
San Francisco +2 · On-site · Full-time · Posted Sep 23, 2026
- Location
- San Francisco
New York City
United States - Experience
- 2–10 years of experience.
About the job
Build and scale data-ingestion and AI infrastructure for real-time threat detection, including systems for distributed AI agents and continuously updated models.
What you'll do
- Ingest partner data, scan the internet for emerging threats, and process customer events in real time.
- Build pipelines for fine-tuning models with fresh threat data and orchestrate GPU workloads across dynamic clusters.
- Design and operate infrastructure and feedback loops that support distributed AI agents and adapt to emerging threats.
What they ask for
- Experience scaling AI infrastructure or MLOps.
- Experience building in fast-paced environments.
Nice to have
- Experience with security or detection systems.
- Experience in adversarial environments such as trust and safety, security, or fraud.
Tools
GPU
AI focus
Build and operate infrastructure for AI agents that detect and stop adversarial AI attacks, including model fine-tuning, GPU workload orchestration, and real-time learning feedback loops.
Model-written summary · the original posting is authoritative