Sr. Software Engineer, Fullstack

Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response.

The momentum speaks for itself: we doubled new ARR in FY26, we process 200M+ video hours per day, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list.

Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible.

Ready to learn more? Connect with us on LinkedIn and YouTube

We’re looking for a Full Stack Engineer to help build and scale the core systems that power Ambient.ai’s real-time AI security platform. In this role, you’ll work on software that ingests, processes, and interprets massive volumes of video and event data in real time - transforming raw signals into actionable intelligence for some of the world’s largest enterprises.

You can expect to regularly take on technically challenging problems in a fast-moving, collaborative environment and to see your work deployed in mission-critical customer environments.

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  Build and maintain full stack features using React, TypeScript and Python

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  Partner with product and design to translate user needs into intuitive interfaces and high quality workflows

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  Create and maintain APIs and backend services. This includes working with data flows between edge devices, cloud services and client applications

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  Optimize performance across the stack with a focus on responsiveness, reliability and scalability

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  Contribute to architectural decisions including data storage, caching, service boundaries and partitioning

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  Review code, mentor other engineers and promote strong engineering practices

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  Work with cloud infrastructure, CI/CD pipelines and modern DevOps tooling

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  Participate in planning, design reviews and cross-team collaboration

• BS in Computer Science or equivalent field with a programming background

• At least 4+ years of experience building scalable and available web services.

• Strong experience working with at least one of the Object-oriented Programming Languages, like Python, Django, and React.js, would be required

• Expertise in APIs (REST / GraphQL), general web backend design principles, relational databases (MySQL / Postgres), streaming pipelines, pub-sub systems, and indexing systems

• Write clean and maintainable code

• Design and implement complex systems including communication between several services (pub-sub paradigm, microservices architecture)

• Manage service reliability, including any cloud operations work (AWS, Google Cloud)

• Experience with Redis, Kafka, RabbitMQ, ActiveMQ, or similar tools/technologies will be highly preferred

• Experience building SaaS product offerings will be a huge advantage.