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AegisAI

Real-time weapon detection via CCTV AI

AI Alchemist

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Have 3–6+ years of experience, likely from a high-growth startup, AI research lab, or as a former technical founder.
  • Be highly comfortable working with Python, large language model APIs including OpenAI, Anthropic, and open-source options, frameworks such as LangChain and LlamaIndex, and deployment stacks such as Vercel and Next.js.
  • Have experience in fast-paced, founder-led environments as a plus.
  • Behave like an owner, knowing when to write scalable code and when to use a quick solution to validate an idea.
  • Communicate technical architecture and business strategy clearly to engineering and investor audiences.

Responsibilities

  • Take vague but critical problems and build initial versions, including agentic workflows, prompt chains for testing detection models, and internal tools, until they are ready to hand off to the core engineering team.
  • Drive executive meeting agendas, board preparations, and investor pitches by building working prototypes and interactive demos.
  • Identify organizational silos, friction points, and operational drag, then build and deploy internal agents and scripts to improve the speed of go-to-market, Product, and Engineering teams.
  • Align Product, Engineering, and go-to-market teams, connect AI research with market needs, and translate technical breakthroughs into shipped features.
  • Track emerging AI models, reasoning frameworks, and agent architectures, and rapidly test their integration into the platform.

Desired Qualifications

  • Experience in fast-paced, founder-led environments.

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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