[Remote] Python Developer – NLP & Document Processing

Note: The job is a remote job and is open to candidates in USA. Quadrant, Inc. is recruiting for a confidential client seeking an NLP Engineer to build solutions that interpret regulatory documentation. The role focuses on NLP and LLM pipelines, extracting rules and compliance logic, implementing document-processing systems, automating workflows, and ensuring outputs are accurate and auditable.

Responsibilities

• Develop and maintain Python-based natural language processing pipelines using tools such as spaCy, density‐based clustering algorithms, and local LLM inference frameworks
• Build OCR and document‐extraction workflows that transform unstructured content into reliable, structured representations
• Implement clean, modular, testable code with strong emphasis on automation and validation through pytest
• Optimize local NLP and ML workloads for performance, privacy, and repeatability in constrained or offline environments
• Collaborate with cross‐functional teams to design solutions, integrate models, and continuously enhance processing accuracy and system resilience
• We are looking for a specialized NLP Engineer to design and implement intelligent solutions that interpret and operationalize reputed company regulatory documentation for a major Federal reputed company Agency
• The core focus is leveraging NLP and Large Language Models (LLMs) to extract rules, conditions, and compliance logic from large-scale reputed company and reputed company documents (PDFs, HTML, Policy Manuals) and automating reputed company workflows
• AI Pipelines Design and build NLP/LLM-driven pipelines to read and interpret federal reputed company manuals, policies, and regulatory guidance
• Logic Extraction Extract reputed company rules, eligibility conditions, and exceptions from reputed company documentation
• IDP Implementation Implement Document Intelligence / Intelligent Document Processing (IDP) solutions for large-scale content ingestion
• Workflow Automation Convert extracted regulatory logic into machine-readable rules and reputed company automated workflows using Python and orchestration tools (reputed company, Power Automate)
• Stakeholder Collaboration Work with clinical, compliance, and engineering teams to validate rule interpretations and ensure high accuracy
• Auditability Ensure reputed company AI outputs are traceable, auditable, and reputed company with federal compliance standards

Skills

• 7+ years of professional experience
• Bachelor's Degree
• Develop and maintain Python-based natural language processing pipelines using tools such as spaCy, density‐based clustering algorithms, and local LLM inference frameworks
• Build OCR and document‐extraction workflows that transform unstructured content into reliable, structured representations
• Implement clean, modular, testable code with strong emphasis on automation and validation through pytest
• Optimize local NLP and ML workloads for performance, privacy, and repeatability in constrained or offline environments
• Collaborate with cross‐functional teams to design solutions, integrate models, and continuously enhance processing accuracy and system resilience
• Master's Degree

Benefits

• Healthcare benefits are offered to all eligible employees according to compliance mandated by the Affordable Care Act
• Remote work

Company Overview

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