Coram AI
Engineering - Software Engineer

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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 & Requirements
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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
- A strong understanding of system performance, reliability, and clean architecture


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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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