What you'll do

Develop AI-enabled software features using Python and modern machine learning or LLM frameworks
Build prototypes and production-oriented tools for simulation, training, analysis, or workflow automation
Design data pipelines, evaluation methods, and experiments to measure model performance and usefulness
Apply techniques such as retrieval-augmented generation, NLP, computer vision, planning, or optimization where appropriate
Integrate AI capabilities with existing software systems, databases, APIs, and user interfaces
Document assumptions, limitations, model behavior, and technical tradeoffs for engineering and customer audiences

What we're looking for

Experience building applied AI, machine learning, data science, or automation software in Python
Familiarity with modern AI/ML workflows, model evaluation, data preparation, and software integration
Ability to turn ambiguous operational or technical problems into testable AI-enabled prototypes
Strong software engineering fundamentals and ability to communicate technical tradeoffs clearly
US Citizenship and ability to obtain a Secret clearance

Nice to have

Experience with LLMs, RAG, NLP, computer vision, autonomy, planning, optimization, or simulation evaluation
Familiarity with PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex, vector databases, or related tools
Experience with defense, aerospace, training systems, digital engineering, or cyber applications
Experience deploying AI tools into secure, offline, edge, or government environments
Active DoD Secret clearance

Applied AI Engineer

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