NLP Engineer

About the job

ROLE SUMMARY We are hiring a hands-on NLP Engineer to build robust pipelines that convert policy, regulatory, fintech, and healthcare documents into structured, graph-ready data. You will own the full extraction lifecycle from raw text to clean, schema-validated outputs using classical NLP, deep learning, and LLM APIs. KEY RESPONSIBILITIES • Pipeline Development: Design and build end-to-end text extraction pipelines for policy, regulatory, fintech, and healthcare documents • Entity & Clause Extraction: Extract key entities (countries, companies, minerals) and structure policy clauses and obligations • Deep Learning & Transformers: Fine-tune BERT / RoBERTa for NER, text classification, and relation extraction tasks • LLM Integration: Leverage LLM APIs with structured output extraction, prompt engineering, and tool/function calling • Data Engineering: Build scalable Python pipelines for high-volume document processing with robust pre-processing for PDF, DOCX, and HTML • Schema & Graph Readiness: Define and enforce JSON schemas; ensure outputs are clean and compatible with knowledge graph ingestion • Accuracy Improvement: Evaluate model performance, track metrics, and implement feedback loops to improve extraction quality over time