The Role
Own and build core backend and infrastructure for document intelligence and VLM workflows. Architect, deploy, and scale high-throughput, low-latency production systems; manage deployments, monitoring, reliability, CI/CD, and enterprise cloud/on-prem environments. Turn research prototypes into production and support enterprise deployments.
Summary Generated by Built In
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 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%
Location: In-person, San Francisco
Visa: Open to sponsoring
Hiring process:
We don’t believe interviews alone can assess fit on either side.
Our process centers around paid work trials, which can be done remotely. You will work with us on real problems, collaborate as peers, and get a genuine sense of what building Unsiloed AI feels like.
For any questions, email hiring [at] unsiloed [dot] ai
Skills Required
- Experience building and operating scaled production systems
- Strong backend engineering skills (Python required)
- Experience with C++ or Rust
- 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)
- Ownership mindset and ability to independently drive systems from idea to production
- Experience serving ML / VLM / GPU-heavy workloads
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The Company
What We Do
Unsiloed AI is the unstructured data interface for LLMs and AI agents. The company builds vision-first, layout-aware systems using computer vision, OCR, and multimodal models to transform complex documents—such as PDFs, images, and spreadsheets—into deterministic, machine-readable JSON and Markdown. This allows AI agents to reliably read and write to documents for high-stakes workflows in sectors like finance, legal, and healthcare.
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