> Markdown version of [/jobs/ext/2840264-nlp-engineer](https://www.wearedevelopers.com/jobs/ext/2840264-nlp-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # NLP Engineer - **Company:** Trunk Tools, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $185,000.0 - $245,000.0 - **Contract:** Permanent contract - **Skills:** Computational Linguistics, Elasticsearch, Graph Database, Information Retrieval, Python (Programming Language), Language Modeling, Natural Language Processing, Named Entity Recognition, NLTK (NLP Analysis), Search Technologies, Large Language Models, Information Technology, HuggingFace, Spacy, Document Classification - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/daa3713e-40bb-4179-a99f-29cd80e7a213/sr-nlp-engineer ## About the Role * MS/PhD in Computer Science, Computational Linguistics, Information Retrieval or a related field * 2+ years of experience in NLP, with a focus on building production-ready systems * Proficiency in Python, ML and experience with NLP libraries such as NLTK, spaCy, or Hugging Face Transformers * Strong experience with information retrieval and search technologies, such as elasticsearch, graph databases, or vector embeddings * Familiarity with LLM-based applications and RAG systems in real-world scenarios * Interest in the construction industry * Bonus: Experience with training or fine-tuning proprietary algorithms * Bonus: Experience with developing complex agentic LLM applications ## Description * Enhance our search capabilities through advanced NLP techniques * Process and analyze a diverse set of documents including text, tables and images * Design and implement entity extraction and text classification systems * Identify and model relationships between entities within and across different document types * Design and implement an efficient indexing structure to enable accurate and fast search capabilities * Design and conduct experiments to evaluate and improve NLP model performance * Develop and maintain language models tailored to the construction industry domain ## Related Videos - [Harry Potter and the Elastic Semantic Search](https://www.wearedevelopers.com/videos/860-harry-potter-and-the-elastic-semantic-search) - [Add Location-based Searching to Site with ElasticSearch](https://www.wearedevelopers.com/videos/77-add-location-based-searching-to-site-with-elasticsearch) - [Serverless Observability: where SLOs meet transforms](https://www.wearedevelopers.com/videos/854-serverless-observability-where-slos-meet-transforms) - [LLMs in the wild: Building an AI agent that survives production](https://www.wearedevelopers.com/videos/100319-llms-in-the-wild-building-an-ai-agent-that-survives-production) - [Make Your Data FABulous](https://www.wearedevelopers.com/videos/430-make-your-data-fabulous) - [Outclassing Frontier LLMs at Extracting Information](https://www.wearedevelopers.com/videos/100303-outclassing-frontier-llms-at-extracting-information) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)