Software Engineer
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Role details
Tech stack
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Job description
- 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
Requirements
- A Bachelor’s degree in Computer Science or similar relevant experience
- 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
- Previous startup experience building systems from scratch or scale-up experience and knowing what good looks like
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A strong understanding of system performance, reliability, and clean architecture
- Resilient in challenging and fast-paced environments
- Exceptional written and verbal communication skills in English, with the ability to influence at all levels
- Ability to work in an onsite environment
Benefits & conditions
- Competitive compensation package
- Flexible paid time off and paid holidays
- Early-stage equity in a rapidly growing company
- Referral bonuses
- Daily team dinners and regular team off-sites to build connection and momentum
- The latest Apple products and unlimited tech stack (Claude Cowork, Perplexity Computer, Nooks, Clay, Instantly, etc.)
About the company
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.
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