NLP Engineer for Technical Docs & LLM-Powered Insights

accelintjobboardtest; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Paid Time Off

Medical, Dental & Vision Insurance

401k Matching

HSA and FSA (optional)

Educational assistance

Employee Assistance Program

Life Insurance

Disability Insurance

Job summary

Lyntris seeks an experienced Machine Learning Engineer / NLP Engineer to build intelligent document understanding solutions powered by NLP and LLMs. You will design pipelines to transform complex technical docs into structured knowledge and enable search, summarization, and Q&A across engineering content.

Responsibilities include building LLM-powered apps with RAG, processing engineering manuals and specifications, and collaborating with engineers and SMEs to deploy scalable AI solutions in a

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI/ML, or related field or equivalent practical experience.
• 2–4 years building NLP pipelines for technical or structured document understanding.
• Hands-on experience with LLMs and transformer architectures, including fine-tuning, prompt engineering, and RAG.
• Experience processing engineering manuals, specifications, tables and figures.
• Strong Python skills and experience with PyTorch and Hugging Face Transformers.
• Proven ability turning unstructured text into structured, machine-actionable knowledge.
• Active U.S. national security clearance or ability to obtain and maintain one.

Responsibilities

• Design, develop, and maintain NLP pipelines for technical and structured document understanding, including information extraction, summarization, semantic search, and question answering.
• Build and optimize LLM-powered applications using transformer-based models, including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) architectures.
• Process and analyze complex technical corpora, including engineering manuals, specifications, technical reports, drawings, tables, and figures.
• Develop methods to convert unstructured and semi-structured documents into structured, machine-actionable knowledge for downstream applications.
• Implement scalable machine learning solutions using Python and modern ML frameworks such as PyTorch and Hugging Face.
• Evaluate model performance, improve accuracy, and optimize inference pipelines for production environments.
• Collaborate with cross-functional teams, including software engineers, data scientists, and subject matter experts, to define requirements and deliver AI-enabled document intelligence solutions.
• Performs other duties as assigned.

Skills

NLP pipelines

Python

PyTorch

Hugging Face Transformers

LLMs / transformer models

Retrieval-Augmented Generation

Education

Bachelor's degree in CS/Data Science/AI or related field

Master's or Ph.D. in CS/AI/ML/Computational Linguistics (preferred)

Tools

PyTorch

Hugging Face Transformers

Job description

Lyntris seeks an experienced Machine Learning Engineer / NLP Engineer to build intelligent document understanding solutions powered by NLP and LLMs. You will design pipelines to transform complex technical docs into structured knowledge and enable search, summarization, and Q&A across engineering content.

Responsibilities include building LLM-powered apps with RAG, processing engineering manuals and specifications, and collaborating with engineers and SMEs to deploy scalable AI solutions in a