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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 Our platform spans front-end, backend, ML, and real-time edge systems. In this role, you’ll design and maintain core backend services that drive data flows, reliability, and performance across the stack. Responsibilities Design and implementation of the APIs, databases and data pipelines Ensure the system can scale to the growing traffic, have full observability and drive down the cost Taking end-to-end responsibility over delivery of features, maintaining high SLA and debugging issues Supporting a broader front-end, edge-computing and ML team Qualifications Experience with an emphasis on building systems of reasonable scale Familiarity with and experience in Go or Python Experience designing, implementing, debugging, scaling, and optimizing APIs, databases and pipelines as traffic grows to multi-TB scale Experience with infrastructure-as-code solutions (Pulumi, AWS) is a plus Experience in monitoring (Grafana) is a plus Experience in authentication (Auth0) is a plus Experience working with distributed teams across time zones Excellent communication skills (both written and verbal) in English Ability to work in an onsite environment What We Offer Competitive compensation package 100% Employer paid Medical cover for you and your loved ones. Paid time off and paid holidays Equity in a rapidly growing company Referral bonuses Regular team socials, dinners, and off-sites The latest Apple tech and unlimited tools to help you build your best work 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.