Startups · AI

Founding Software Engineer - Backend and Infrastructure

Unsiloed AI · San Francisco, CA, US · On-site

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About Unsiloed AI

API for parsing multimodal unstructured data. Backed by Y Combinator and Entrepreneur First.

About the role

As a Founding Software Engineer, you will own the entire technical stack end-to-end, from core infrastructure and production systems to deployment, reliability, and developer experience. This role is backend & infrastructure-heavy. You should have most of the following:

What they're looking for

  • Architect, build, and scale core backend systems powering document intelligence and VLM-based workflows
  • Own production infrastructure end-to-end: deployments, monitoring, performance, reliability
  • Design and operate high-throughput, low-latency services in real production environments
  • Take systems from R&D → production → enterprise scale
  • Build and maintain cloud and on-prem deployments (Docker, Kubernetes, Helm) for enterprise customers
  • Establish best practices for CI/CD, observability, debugging, and incident response
More about this role

We are hiring a Founding Software Engineer in San Francisco.

We are building a small, talent-dense team. This role will define the engineering archetype at Unsiloed AI and set the ceiling for the team. We strongly believe technical DNA compounds (or degrades) with every hire and hence the first few matter disproportionately. You will be expected to operate proactively, take full ownership, and independently drive systems from idea to production.

As a Founding Software Engineer, you will own the entire technical stack end-to-end, from core infrastructure and production systems to deployment, reliability, and developer experience.

  • Architect, build, and scale core backend systems powering document intelligence and VLM-based workflows
  • Own production infrastructure end-to-end: deployments, monitoring, performance, reliability
  • Design and operate high-throughput, low-latency services in real production environments
  • Take systems from R&D → production → enterprise scale
  • Build and maintain cloud and on-prem deployments (Docker, Kubernetes, Helm) for enterprise customers
  • Establish best practices for CI/CD, observability, debugging, and incident response
  • Work closely with the...

Read the full posting on Unsiloed AI's site ↗

Engineering

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