Senior Applied AI Engineer, Document Intelligence

About

A senior individual-contributor role owning document processing pipelines end-to-end, including design, benchmarking, and experimenting with new architectures.

Requirements

• 6+ years building ML or data-intensive systems
• 3+ years owning a production pipeline
• Solid backend engineering and cloud architecture understanding
• Experience with entity resolution or record linkage at scale
• Experience designing evaluations from scratch
• Production experience with LLM APIs
• Strong Python and SQL

Responsibilities

• Design and own the architecture of extraction-to-posting pipelines
• Evaluate new systems and run structured trials
• Build the evaluation process for pipeline performance
• Ship and operate components in production
• Work with leadership on planning for accuracy and cost improvement

Benefits

• Small team of tight-knit, like-minded people
• Competitive compensation
• Monthly payments in USD