C

Coram AI

On-prem AI platform for video security

Member of Technical Staff - Frontend

Frontend EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • Experience building production web applications in React and TypeScript.
  • Deep understanding of frontend performance profiling, browser memory management, and client-side optimization.
  • Hands-on experience working with real-time data streams such as WebSockets, Server-Sent Events, or WebRTC.
  • Strong software engineering fundamentals, including modular architecture, state management, and automated testing.

Responsibilities

  • Architect and scale high-performance React and TypeScript applications built for real-time surveillance operations.
  • Build UI components for video playback, timeline scrubbing, and multi-camera grid management.
  • Optimize client-side rendering, network bandwidth, and browser memory usage when streaming high-frequency data.
  • Partner closely with Product, Design, and Machine Learning engineers to transform complex AI detection capabilities into simple user experiences.
  • Establish frontend architecture patterns, maintain testing standards, and mentor team members.

Desired Qualifications

  • High bar for UI detail, usability, and web accessibility.
  • Experience with video technologies on the web, such as HLS, WebRTC, MSE, or Canvas/WebGL video rendering.
  • Experience building spatial or location-aware dashboards using mapping tools such as Mapbox or Leaflet.
  • Prior experience in fast-paced startup environments or developer-centric B2B SaaS platforms.

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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