Principal NLP Scientist

Sourceability® is a global digital distributor of electronic components transforming how modern businesses bring products to market. With innovation, quality and logistics as the backbone of the company, Sourceability’s cutting-edge products and services expedite the procurement process across a wide range of industries, including communications/cellular, consumer electronics, and auto manufacturing.

The Principal NLP Scientist is a senior technical leader responsible for designing, researching, and improving advanced Natural Language Processing and Large Language Model capabilities for production business systems.

This role combines applied research, hands-on model development, technical architecture, and practical product impact. The Principal NLP Scientist will lead the design of NLP solutions for named entity recognition, text classification, text generation, semantic search, information extraction, and other language-driven automation use cases.

This is not only a research role. The focus is to take modern NLP and LLM technologies and make them reliable, measurable, maintainable, and useful inside real production workflows.

• Product Group | NLP / AI Automation
• Stream | Software Engineering / AI & Machine Learning
• Role Type | Principal-level individual contributor / technical leader

The Principal NLP Scientist will work closely with software engineers, data engineers, product managers, analysts, and data annotation teams to define, build, evaluate, and continuously improve NLP models and language-based automation systems.

• Named entity recognition and structured data extraction
• Text classification and categorization
• Text generation and language-based automation
• Large Language Model evaluation, adaptation, and integration
• Retrieval-augmented generation and semantic search
• Knowledge graph and GraphRAG-based approaches for connecting structured business data, unstructured text, and entity relationships in AI assistant workflows
• Data preparation, annotation strategy, and labeling quality
• Model evaluation, monitoring, and production performance
• Applied NLP research and prototype development
• Integration of NLP models into internal business applications

In this role, you will influence how the company uses modern NLP and LLM technologies across internal platforms and operational workflows.