Coram AI

Build high-performance C++ edge applications that process vision data and run machine learning workloads on resource-constrained devices. You’ll optimize GPU-enabled runtimes, telemetry, and deployed systems for real-world video security applications.

Join Coram AI as a Graduate Software Engineer building AI-powered video intelligence systems, scalable backend services, user-facing features, and real-time edge-device capabilities. You’ll ship production code quickly while working alongside experienced engineers on challenging distributed systems and multimodal AI problems.

Build high-performance React and TypeScript interfaces for Coram AI’s real-time video security platform. You’ll turn complex AI detection capabilities into intuitive experiences for video playback, surveillance operations, and multi-camera management.

Build and scale the backend services, APIs, databases, and data pipelines powering Coram AI’s cloud-native video security platform. You’ll own features end to end and support front-end, edge-computing, and ML teams in an onsite environment.

Join Coram AI’s core engineering team to build scalable backend systems, frontends, and AI-native features for a cloud-based video security platform. You’ll work across distributed systems, multimodal LLMs, computer vision, ML pipelines, and edge devices.

Coram AI is seeking passionate individuals to join their rapidly growing team focused on revolutionizing video security through AI and computer vision.

Build the C++ edge-computing platform behind Coram AI’s real-time video security products. You’ll work across vision-data processing, GPU-accelerated runtime performance, ML deployment, communications, and observability.

Build the edge and cloud infrastructure software behind Coram AI’s large-scale IoT video security platform. You’ll work across AWS, Kubernetes, device provisioning, automation, observability, and developer productivity in an onsite London startup environment.