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Backend Engineer - Document Processing and Workflows

Two Dots
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Hybrid (San Francisco, CA)$175k - $250k + equityFull-timePosted 4mo ago

About the role

Backend Engineer role focused on PDF processing, ML-driven document workflows, and scalable backend infrastructure for AI-powered fraud prevention and underwriting within Two Dots.

Responsibilities

  • ML ops and quality management challenges in PDF processing
  • Building, scaling, and refining Python-based application code that deals with PDFs and downstream financial data
  • Ensuring PDF processing is as fast as possible, and that machine learning steps are not bottlenecked by server latency, throughput, or non-ML PDF-related processing

Qualifications

  • 3+ years of experience
  • Very strong command of Python
  • Experience with PDFs and PDF-driven applications
  • Experience with OCR and document understanding workflows
  • Fluency in machine learning concepts (ROC, precision, recall) and reasoning about model outputs
  • Ability to prepare PDFs for ML steps and integrate outputs into backend workflows
  • Strong SQL skills for measuring service performance and accuracy (e.g., BigQuery)
  • Experience debugging Kubernetes, and understanding queueing, memory, disk, and CPU usage

Skills

Required:PythonPDF processingMachine LearningSQL / BigQuery
Nice to have:KubernetesDistributed Systems

Benefits

  • Not specified in the description
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About Two Dots

AI fraud prevention and underwriting agent

We're building an AI consumer underwriting automation service.

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