Engineering - Software Engineer

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.

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

You’ll play a key role in designing, building, and scaling the systems that power our video intelligence platform—working closely with AI, product, and infrastructure teams to deliver features that matter.

In this role, you will:

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

You'll be a great fit if you have:

• Strong experience with Golang, Python, or C++
• Experience with modern frontend stacks — TypeScript, React (react-query, Tailwind)
• Experience designing and building scalable backend systems and APIs
• Comfort with distributed systems, containers, and cloud-native infrastructure (we run Kubernetes on AWS, Pulumi for IaC)
• Fluency with AI-assisted development and opinions on where it works well
• A Computer Science degree or similar from a top university
• Previous startup experience building systems from scratch or scale-up experience and knowing what good looks like.