What you'll do

Develop software tools for extracting tasks, procedures, entities, requirements, and decision logic from technical documents
Build LLM, NLP, and retrieval-augmented workflows for working with manuals, procedures, and training content
Design data structures such as task graphs, step sequences, checklists, and instruction templates
Evaluate model outputs for accuracy, traceability, consistency, and usefulness to training system developers
Integrate AI-generated outputs into simulation, XR, or software training pipelines
Document model behavior, assumptions, limitations, and human-review requirements

What we're looking for

Experience building applied AI, NLP, or LLM-enabled software in Python
Familiarity with retrieval-augmented generation, document processing, information extraction, or text classification
Ability to evaluate AI outputs carefully and design workflows that keep humans in the loop
Strong software engineering fundamentals and ability to work with structured and unstructured data
US Citizenship and ability to obtain a Secret clearance

Nice to have

Experience with technical manuals, military training content, maintenance procedures, or instructional systems
Familiarity with LangChain, LlamaIndex, vector databases, embeddings, OCR, or document parsing tools
Experience building knowledge graphs, task graphs, workflow engines, or structured content pipelines
Experience with defense, aerospace, training systems, or digital engineering applications
Active DoD Secret clearance

Applied AI Engineer — LLM/NLP for Training Systems

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