Founding Backend Engineer
UNSILOED LLC
San Francisco, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 300KJob location
San Francisco, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
C++
Cloud Computing
Continuous Integration
Software Debugging
Distributed Systems
Python
Redis
Pulumi
Google Cloud Platform
Caching
Parallel Computation
Backend
Kubernetes
Terraform
Docker
Microservices
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.
Requirements
- 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