Ambient.Ai

Software Engineer - Backend (Product)

Redwood City , Remote. Posted 5 months ago

The role

You will design and build the backend powering the product experience for enterprise security teams. You will own core product areas end to end, from data modeling to API design and operational health.

What you will do

  • Design and ship backend APIs and services from prototypes to enterprise rollout.
  • Own a product area end to end including data modeling, API design, performance, reliability, and operational health.
  • Partner with product, design, and frontend to turn ambiguous problems into technical plans.
  • Tune performance and reliability under real production load.
  • Build monitoring, logging, and alerting.
  • Contribute to architecture reviews, code reviews, and team standards.

Required qualifications

  • 6+ years of backend engineering experience with meaningful time on user-facing web or mobile products.
  • Strong Python skills and production experience with Flask, Django, or FastAPI.
  • Solid API design instincts across REST, GraphQL, or gRPC.
  • Comfort modeling data across SQL, NoSQL, time-series, and vector stores.
  • Working knowledge of at least one major cloud platform (AWS, GCP, or Azure).
  • A track record of debugging hard production issues and shipping the fix.

Nice to have

  • Real-time systems experience: WebSockets, server-sent events, pub/sub, or streaming pipelines.
  • Working knowledge of TypeScript and a modern frontend framework like React or Vue.
  • Background in video infrastructure, computer vision applications, notification and alert routing, or LLM and agentic applications.
  • Experience scaling multi-tenant SaaS into large enterprise deployments.

Benefits

  • Stock options for regular Full-time employees
  • Medical
  • Dental
  • Vision
  • Life
  • EAP
  • Legal Services
  • 401k plan
  • Flexible time off
  • Winter Break
  • Latest tech and swag

About the company

Ambient.ai is the category creator and leader in Agentic Physical Security. Founded in 2017, the company uses a reasoning Vision-Language Model to unify monitoring, access control, threat assessment, response, and investigations.