Senior Software Engineer, Backend

Build a safer world with us, one incident at a time.

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, 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 https://www.forbes.com/lists/americas-best-startup-employers/.

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 https://www.linkedin.com/company/ambient-ai/?viewAsMember=true and YouTube https://www.youtube.com/@ambient-ai-inc

About the role:

We’re looking for a Senior Software Engineer, Backend who will play a key role in designing, developing, and scaling our data stores and caching systems to petabyte scale. You will be responsible for ensuring the availability, reliability, and performance of our data stores, contributing to the success of our mission-critical applications. Additionally, you will have the opportunity to work with retrieval-augmented generation systems.

What you’ll do:

- You will lead the design, development, and scaling of our data storage and caching systems to petabyte scale while also spearheading the development of advanced retrieval-augmented generation systems.

- Develop highly efficient caching systems that obliterate latency, ensuring lightning-fast data access.

- Tackle data infrastructure challenges head-on, swiftly troubleshooting and resolving issues to minimize downtime.

- Lead groundbreaking efforts in retrieval-augmented generation systems, pushing the boundaries of what's possible

What you’ll bring:

- At least 5+ years of experience building scalable web services.

- A robust background in software engineering with a demonstrated specialization in architecting and optimizing data infrastructure at scale.

- A track record of successfully architecting and scaling data stores to accommodate petabyte-level data volumes

- Profound competence in designing and implementing caching systems to optimize data access latency.

- Hands-on proficiency in scaling, managing, and fine-tuning database systems, encompassing MySQL, PostgreSQL, Redis, and OpenSearch