Founding Software Engineer - Backend and Infrastructure
at Unsiloed AI — API for parsing multimodal unstructured data
What the role involves
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
About Unsiloed AI
AI teams spend 6+ months building document workflows, yet fewer than 10% ever reach production. Generic LLM parsers and OCR collapse on multimodal documents with text, tables, images, and charts. Poor parsing and suboptimal chunking cripple RAG pipelines and downstream automation. Unsiloed AI has built state-of-the-art vision models which serves as the infrastructure layer for turning unstructured data into structured, queryable, and LLM-ready assets. Our APIs are already parsing hundreds of thousands of documents for startups and NASDAQ-listed enterprises, powering vertical AI solutions across industries. On public benchmarks, Unsiloed AI consistently outperforms solutions from LlamaIndex, Gemini, Mistral, and Unstructured.io among others.
Full Unsiloed AI profile