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AegisAI

Real-time weapon detection via CCTV AI

Infrastructure Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Two to ten years of experience.
  • Experience scaling artificial intelligence infrastructure or machine learning operations.
  • Experience building in fast-paced environments.

Responsibilities

  • Architect the foundation for a constellation of artificial intelligence agents.
  • Build and scale infrastructure to ingest data streams from partners, scan the internet for new threats, and monitor customer events in real time to extract behavioral patterns.
  • Design and operate artificial intelligence infrastructure for a distributed network of intelligent agents.
  • Build pipelines to fine-tune models with fresh threat data, orchestrate graphics processing unit workloads across dynamic clusters, and implement real-time feedback loops that learn from new activity and evolve.

Desired Qualifications

  • Experience with security or detection systems.
  • Experience working in adversarial environments such as trust and safety, security, or fraud.

About the Company

AegisAI

Real-time weapon detection via CCTV AI

AegisAI provides a security software platform that turns existing security cameras into weapon-detection devices. It offers a Software-as-a-Service (SaaS) solution that integrates with clients’ video management systems without new hardware, enabling real-time firearm detection through deep learning computer vision. When a weapon is identified, the system sends alerts to on-site security and local law enforcement within seconds, including the weapon’s location, to enable a fast response. It avoids facial recognition and only analyzes data related to threats, deleting non-critical data to protect privacy. Compared to competitors, it emphasizes weapon identification with seamless camera integration, privacy-conscious data handling, and rapid, actionable alerts. The goal is to reduce gun violence and prevent mass shootings by enabling earlier detection and response in places like schools and offices.

Company size
11-50
Company stage
Series A
Total funding
$49M
Headquarters
Boston, MA
Founded
Not listed

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