NLP Engineer/Python (Sr.)

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.

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.