At Coram AI, we’re reimagining video security for the modern world. Our cloud-native platform uses computer vision and AI to help businesses stay safe, make smarter decisions, and move faster; from real-time alerts to seamless clip sharing and multi-site visibility.

You’ll be joining an ambitious, fast-moving team that values clarity, craftsmanship, and impact. Every person here has a voice, ships meaningful work, and helps shape how AI can make the world safer and more connected.

The role

We're looking for a Graduate Software Engineer to join our core engineering team.

You'll be building the systems that power our video intelligence platform — services that ingest and process video and sensor data at scale, AI features that let people search hours of footage in plain English, and real-time detections running across a fleet of edge devices.

This is not a graduate scheme with a rotation and a training module. You'll be shipping code to production in your first weeks, sitting next to the people who designed the systems you're working on, and getting your work reviewed by engineers who care about making you better. The scope you take on grows as fast as you do.

What you'll work on

• AI-native features, end to end. Natural-language video search, real-time detections, and agentic workflows built on multimodal LLMs and computer vision. You'll be working with models that didn't exist eighteen months ago, on problems that don't have a Stack Overflow answer yet.

• Backend services that handle serious scale. Ingesting, processing, and serving video and sensor data in real time, in Golang and Python.

• The product people actually touch. User-facing frontends in TypeScript and React, working directly with product rather than through three layers of ticket.

• APIs and systems that sit between our ML pipelines and our edge device fleet.

• Infrastructure and architecture, alongside the senior engineers making those calls — Kubernetes on AWS, Pulumi for IaC. You'll learn how these decisions get made by being in the room for them.

• Hard problems. Distributed systems, real-time processing, and high availability. The interesting kind of hard.

We're an AI-native engineering team and we expect you to be too. Every engineer here uses AI-assisted development daily, and we'd rather hire someone who has strong opinions about where it helps and where it gets in the way than someone who avoids it.

What we're looking for

• A Bachelor's degree in Computer Science or a related field

• Solid programming fundamentals in at least one modern programme language, and the appetite to pick up the others

• Evidence that you build things: side projects, internships, open source, hackathons, a game you made that nobody played. Something beyond coursework.

• Genuine curiosity about AI and where the technology is going

• The resilience to work in a fast-paced environment where the answer often isn't known yet

We're on a mission to transform a $50B+ legacy industry by bringing the power of cutting-edge multimodal LLMs and computer vision to real-world security and operations. From firearm detection to intelligent access control, our AI-native platform turns every camera and sensor into a smart system that enhances safety, efficiency, and awareness.

Founded by Ashesh Jain (ex-Lyft Level 5, PhD Cornell) and Peter Ondruska (ex-Lyft, PhD Oxford), Coram AI is backed by Ansa Capital, Battery Ventures, Mosaic, 8VC and Up Partners, have raised over $65M, and were named to the CB Insights AI 100 as one of the most promising AI companies in the world. If you're excited to work on mission-critical AI that makes an impact in the real world, we’d love to meet you.