Founding Backend Engineer

Unsiloed AI
  • San Francisco, CA
  • $150,000–$300,000
  • Quick Apply
8 days ago

Job Description

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.

What you Will Do

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 workfows

  • 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 founders and research team to turn research prototypes into production-grade, scalable

    systems.

What We are Looking For

This role is backend & infrastructure-heavy. You should have most of the following:

  • Experience building and operating scaled production systems

  • Strong backend engineering skills (Python required; C++/Rust is a major plus)

  • Experience with distributed systems (microservices, parallel processing, queues, caches like Redis)

  • Deep familiarity with cloud infrastructure (AWS, GCP, Azure)

  • Hands-on experience with Docker, Kubernetes, Helm, and infrastructure-as-code (Terraform / Pulumi)

  • An ownership mindset

  • Nice to have: Experience serving ML / VLM / GPU-heavy workloads

Benefts & Perks

  • Competitive compensation + equity

  • Full health insurance coverage

  • Free company laptop

  • Doordash/Uber credits

Interview Process

1. Pending Approval

2. Initial Chat

3. Technical Coding Round

4. Work Trial

5. Offer Extended

6. Hired

Numbers & Facts

LocationSan Francisco, CA
Salary$150,000–$300,000

Skills

  • Amazon Web Services (AWS)unmatched
  • Best Practicesunmatched
  • C++ Programming Languageunmatched
  • Cloud Computingunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • DNAunmatched
  • Debugging Skillsunmatched
  • Distributed Computingunmatched
  • Dockerunmatched
  • GCP (Good Clinical Practices)unmatched
  • High Throughputunmatched
  • Incident Responseunmatched
  • Laptop PCunmatched
  • Microservicesunmatched
  • Microsoft Windows Azureunmatched
  • Parallel Computingunmatched
  • Performance Analysisunmatched
  • Production Systemsunmatched
  • Prototypingunmatched
  • Redisunmatched
  • Research & Development (R&D)unmatched
  • Software Engineeringunmatched

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