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NLP Engineer/Python (Sr.)

Quadrant · Raleigh, NC · Remote

100100

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NLP Engineer/Python (Sr.) at Quadrant. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

NLP/Python Engineer

Raleigh-Durham, NC (Research Triangle Park) - Hybrid/Remote

Pay From

$75.00 per hour

MUST

Experienced NLP/Python Engineer

7+ years of professional experience in software engineering, Natural Language Processing (NLP), machine learning, or related technical disciplines

Strong hands-on Python development experience building production-level NLP and machine learning solutions

Experience designing, developing, and maintaining NLP pipelines for processing large volumes of unstructured documents

Experience working with Large Language Models (LLMs) for document interpretation, information extraction, and structured data generation

Hands-on experience with spaCy and related NLP libraries

Experience with density-based clustering algorithms and text classification techniques

Experience deploying and managing local LLM inference frameworks

Experience developing Optical Character Recognition (OCR) and document extraction workflows

Experience extracting structured information from PDFs, HTML documents, policy manuals, and regulatory documentation

Experience developing Intelligent Document Processing (IDP) solutions

Experience translating complex business rules, conditions, and exceptions into structured, machine-readable representations

Strong Python software engineering skills with emphasis on clean, modular, reusable, and testable code

Experience developing automated unit tests and validation frameworks using pytest

Experience optimizing NLP and machine learning workloads for performance, accuracy, privacy, and repeatability

Experience deploying NLP/LLM solutions in constrained, secure, or offline computing environments

Experience integrating NLP models with enterprise applications and automated workflows

Strong understanding of model validation, data accuracy, traceability, and auditability

Experience collaborating with engineering, compliance, and business stakeholders to validate model outputs and rule interpretations

Strong analytical, problem-solving, and communication skills

Experience with federal regulatory documentation, compliance automation, or policy interpretation preferred

Experience with Python-based workflow orchestration and Microsoft Power Automate preferred

Bachelor's degree required

Master's degree preferred

DUTIES

Design, develop, and implement NLP and LLM-driven solutions supporting regulatory document interpretation for a federal government customer

Develop Python-based NLP pipelines to process and interpret large volumes of federal manuals, policies, and regulatory guidance

Utilize spaCy, clustering algorithms, and local LLM inference frameworks to extract meaningful information from unstructured content

Develop OCR and Intelligent Document Processing solutions for PDFs, HTML documents, policy manuals, and related content

Extract regulatory rules, eligibility conditions, exceptions, and compliance requirements from complex documentation

Transform extracted information into structured, machine-readable data and business rules

Develop automated workflows utilizing Python and orchestration technologies, including Microsoft Power Automate where applicable

Build and maintain document ingestion, classification, extraction, and validation pipelines

Optimize NLP and LLM processing for performance, accuracy, privacy, and reliability

Implement local and offline model inference capabilities for secure processing environments

Develop modular, maintainable, and testable Python code

Create automated unit tests, integration tests, and validation processes using pytest

Collaborate with clinical, compliance, engineering, and business stakeholders to validate extracted regulatory interpretations

Integrate NLP and LLM capabilities with existing enterprise applications and workflow automation platforms

Improve document extraction accuracy, rule interpretation, and processing efficiency

Implement traceability and auditability mechanisms for AI-generated outputs and extracted compliance logic

Ensure NLP processing and AI outputs align with applicable federal compliance requirements

Troubleshoot and resolve model, pipeline, and document processing issues

Continuously improve NLP models, document intelligence capabilities, and automated regulatory workflows

Quadrant is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability. “Healthcare benefits are offered to all eligible employees according to compliance mandated by the Affordable Care Act“.

Skills

  • Python
  • spaCy
  • clustering algorithms
  • LLMs
  • OCR
  • PDF processing
  • HTML processing
  • Intelligent Document Processing
  • machine learning
  • NLP pipelines
  • workflow automation
  • pytest
  • model deployment
  • data extraction
  • regulatory compliance
  • Microsoft Power Automate

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