NLP Engineer

You will design and build end-to-end text extraction pipelines for policy, regulatory, fintech, and healthcare documents.

Responsibilities

  • Design and build end-to-end text extraction pipelines for complex document types.
  • Extract key entities and structure policy clauses and obligations.
  • Fine-tune BERT and RoBERTa for NER, text classification, and relation extraction tasks.
  • Leverage LLM APIs using prompt engineering, tool/function calling, and structured output extraction.
  • Build scalable Python pipelines for high-volume processing of PDF, DOCX, and HTML files.
  • Define and enforce JSON schemas to ensure outputs are compatible with knowledge graph ingestion.
  • Evaluate model performance and implement feedback loops to improve extraction quality.

Required Skills

  • 5+ years of hands-on NLP engineering in production pipelines.
  • Python.
  • NLP (spaCy, NLTK).
  • HuggingFace Transformers.
  • Deep Learning.
  • LLM API Integration.
  • Data Pipeline development.
  • JSON Schema.
  • Pydantic.
  • Any Graduate degree.

Preferred Skills

  • Experience with legal, regulatory, or policy documents.
  • Familiarity with knowledge graphs or graph databases like Neo4j or RDF.
  • Document parsing tools including pdfplumber, Docling, or Apache Tika.
  • Domain knowledge in fintech or healthcare NLP.
  • Exposure to information extraction benchmarks such as CoNLL, DocRED, or SciERC.
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