6 hours ago
Responsibilities
- Build AI-native features including natural-language video search, real-time detections, and agentic workflows using multimodal LLMs and computer vision.
- Develop Golang and Python backend services that ingest, process, and serve video and sensor data at scale.
- Build user-facing frontend functionality with TypeScript and React in collaboration with the product team.
- Develop APIs and systems connecting machine-learning pipelines with a fleet of edge devices.
- Contribute to infrastructure and architecture using Kubernetes on AWS and Pulumi.
- Ship production code, participate in code reviews, and work on distributed systems, real-time processing, and high availability.
Requirements
- Bachelor’s degree in computer science or a related field.
- Solid programming fundamentals in at least one modern programming language and willingness to learn others.
- Evidence of building projects beyond coursework, such as side projects, internships, open-source work, hackathons, or games.
- Genuine curiosity about AI and its future.
- Resilience and adaptability in a fast-paced environment with ambiguous problems.
Benefits
- Production ownership within the first weeks and mentorship from experienced engineers.
- Opportunity to work on mission-critical AI, multimodal LLMs, computer vision, distributed systems, and edge-device technology.
- Collaborative environment with direct interaction with product and senior engineering staff.
Tech Stack
Categories
About Coram AI
Coram AI builds an AI-powered physical security platform that unifies video security, access control, and emergency management for businesses and public facilities. It offers cloud software plus AI security cameras and on-premise GPU servers, integrating with existing systems to deliver real-time detection, alerts, and clip sharing across sites. Founded in 2022 and headquartered in Sunnyvale, California, the privately held company serves Fortune 500 customers, school districts, warehouses, retailers, and manufacturing operations.