Senior Document AI Architect & ML Systems Lead

Medici Land Governance Inc.

United States

On-site

USD 150,000 - 210,000

Full time

39 hours ago
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Job summary

Medici Land Governance Inc. is hiring a hands-on technical leader to own our end-to-end document intelligence platform. You will own the architecture of document intake, quality assessment, OCR/VLM extraction, indexing, and serving strategies for batch and real-time workloads.

The role emphasizes reducing hallucinations, improving production accuracy, and building resilient systems in a fast-changing model landscape while leading a small AI engineering team.

Qualifications

  • 6+ years building production AI/ML systems.
  • Strong experience in document AI, OCR, NLP, or information extraction.
  • Experience owning or improving intelligent document processing pipelines.
  • Experience evaluating multiple model providers and APIs in production.
  • Hands-on with vLLM, Triton, or similar inference-serving systems.

Responsibilities

  • Architect and improve document AI pipelines for court and property records.
  • Build systems to assess image quality on arrival and route processing paths.
  • Optimize preprocessing for scan quality and alignment.
  • Design robust fallback across multiple model providers to reduce vendor lock-in.
  • Evaluate platforms for resiliency, cost, and flexibility.
  • Develop eval frameworks with regression tests and versioning.

Skills

Document AI
OCR
LLM infra
Python
PyTorch
MLOps
System design

Education

BS in CS or equivalent

Tools

vLLM
Triton
Textract
MLflow
Langfuse

Job description

Medici Land Governance Inc. is hiring a hands-on technical leader to own our end-to-end document intelligence platform. You will own the architecture of document intake, quality assessment, OCR/VLM extraction, indexing, and serving strategies for batch and real-time workloads.

The role emphasizes reducing hallucinations, improving production accuracy, and building resilient systems in a fast-changing model landscape while leading a small AI engineering team.

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