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Founding Backend Engineer

Exclusive opportunity

Onsite

Founding Backend Engineer

Unsiloed AI

Founding Backend Engineer

Skills

Google Cloud PlatformRustDockerPythonMicroservicesRRedisMachine LearningAWSKubernetesTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

$150,000 – $300,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

17 August 2026

What they need


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

#Workwolf

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