Aegis AI
Infrastructure Engineer Lead
New York City +2 · On-site · Full-time · Posted Sep 25, 2026
- Location
- New York City
United States
San Francisco - Experience
- 10+ years of experience.
About the job
Architect and scale data and AI infrastructure for agent-based threat detection, including internet-scale ingestion, real-time monitoring, model fine-tuning, GPU orchestration, and feedback loops.
What you'll do
- Build infrastructure to ingest partner data, scan the internet for threats, and process customer events in real time.
- Design and operate infrastructure for distributed AI agents, including model-training pipelines and GPU workloads.
- Implement feedback loops that learn from new threats and continuously improve detection.
What they ask for
- 10+ years of experience.
- 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 (T&S, security, fraud).
Tools
AI Agents, MLOps, GPU
AI focus
Build and operate AI infrastructure for agents that detect and stop adversarial threats, including fine-tuning models with fresh threat data and continuously learning from feedback.
Model-written summary · the original posting is authoritative