Founding Backend Engineer
Unsiloed AI
Job Description
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
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