Unsiloed AI
San Francisco, CA
API for parsing multimodal unstructured data into LLM-ready formats
About
Unsiloed AI builds APIs using vision-language models to parse complex unstructured documents like PDFs, spreadsheets, and slides into structured JSON or Markdown. It serves developers and AI engineers at enterprises and startups, enabling accurate data ingestion for LLMs and AI workflows in sectors like finance and insurance. This solves the blocker of unstructured data halting AI adoption by providing high-accuracy, low-latency parsing with preserved hierarchy.
Tech stack
Python, Docker, Kubernetes, Helm, Redis, Terraform, Pulumi, AWS, GCP, Azure, Computer Vision, PyTorch, Transformers, microservices
Perks & benefits
Equity, Visa sponsorship
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Open jobs
3Unsiloed AI
San Francisco, CA
Founding GTM Lead working directly with founders to build and operationalize the go-to-market motion for an enterprise data infrastructure startup, owning outbound, inbound, POCs, and early sales processes.
Unsiloed AI
San Francisco, CA
Founding engineer owns backend systems and infrastructure for document intelligence and VLM workflows, from R&D to production scale. Requires strong Python backend skills, distributed systems, and cloud/K8s expertise with full ownership mindset.
Unsiloed AI
San Francisco, CA
Founding ML Researcher shapes ML research direction for document AI, owns end-to-end lifecycle from research to production deployment. Requires expertise in VLMs, computer vision, unstructured data parsing; PhD preferred.