Founding Backend Engineer - Build Scalable Core Systems

Unsiloed AI; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

Unsiloed AI in San Francisco is hiring a Founding Software Engineer to own the entire tech stack from core infrastructure and production systems to deployment and reliability.

You will architect, build, and scale backend systems powering document intelligence and VLM-based workflows, manage production infrastructure end-to-end using Docker, Kubernetes and Helm, and establish CI/CD, observability, debugging and incident response.

Qualifications

• 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).

Responsibilities

• 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 to 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.

Skills

Backend engineering

Distributed systems

Python

C++/Rust

Cloud infrastructure

Production systems

Tools

Docker

Kubernetes

Helm

AWS

GCP

Redis

Job description

Unsiloed AI in San Francisco is hiring a Founding Software Engineer to own the entire tech stack from core infrastructure and production systems to deployment and reliability.

You will architect, build, and scale backend systems powering document intelligence and VLM-based workflows, manage production infrastructure end-to-end using Docker, Kubernetes and Helm, and establish CI/CD, observability, debugging and incident response.