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Coram AI

On-prem AI platform for video security

Member of Technical Staff - Full Stack

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science or similar relevant experience.
  • Strong experience with Golang, Python, or C++.
  • Experience with modern frontend stacks, including TypeScript, React, react-query, and Tailwind.
  • Experience designing and building scalable backend systems and APIs.
  • Comfort with distributed systems, containers, and cloud-native infrastructure, including Kubernetes on AWS and Pulumi for infrastructure as code.
  • Fluency with AI-assisted development and opinions on where it works well.
  • Previous startup experience building systems from scratch or scale-up experience and knowing what good looks like.
  • A strong understanding of system performance, reliability, and clean architecture.
  • Ability to work in an onsite environment.

Responsibilities

  • Build and maintain backend services that ingest, process, and serve video and sensor data at scale.
  • Ship AI-native features end to end, including natural-language video search, real-time detections, and agentic workflows built on multimodal large language models and computer vision.
  • Implement user-facing frontends in TypeScript and React, working closely with product.
  • Design scalable APIs and systems that interface with machine-learning pipelines and the edge-device fleet.
  • Collaborate on infrastructure and architecture decisions from the ground up.
  • Tackle problems involving distributed systems, real-time processing, and high availability.

About the Company

Coram AI

On-prem AI platform for video security

Coram AI provides an AI-powered security platform that turns existing IP cameras and related systems into a unified on-premises solution for video security, access control, emergency response, and visitor management. It runs AI at the edge on NVIDIA GPUs so sensitive video stays on-site, while offering natural-language search and Deep Investigation agents to analyze months of video, access logs, and visitor activity across locations. It differentiates itself with edge-native processing and cross-system analytics that keep data on-site and support large multi-site deployments (1,500+ locations). Its goal is to give organizations a scalable, AI-assisted security operations platform that delivers fast, cross-location insights without moving sensitive data to the cloud.

Company size
51-200
Company stage
Series B
Total funding
$54.1M
Headquarters
Sunnyvale, CA
Founded
2022

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