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Unsiloed AIUnsiloed AISan Francisco, CA

Founding Software Engineer - Backend and Infrastructure

Founding engineer owns backend systems and infrastructure for document intelligence and VLM workflows, from R&D to production scale. Requires strong Python backend skills, distributed systems, and cloud/K8s expertise with full ownership mindset.

150k – 300k/yr
On-siteBackend Engineering

About the role

What you Will Do

  • 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 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

Compensation

  • $150k – $300k
  • Equity: 0.1% – 1%

Skills

PythonKubernetesDockerHelmAWSGCPAzureTerraformPulumiRedisDistributed SystemsMicroservices
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