[Hiring] Python Developer – NLP Engineer @Quadrant

Role Description

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.

• 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.

Qualifications

• 7+ years of professional experience as a Python Developer – NLP Engineer.
• Bachelor's Degree required, Master's Degree preferred.

Requirements

• 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.

Benefits

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