Applied AI Engineer

Responsibilities

• 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

• 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

• Experience with LLMs, RAG, NLP, computer vision, autonomy, planning, optimization, or simulation evaluation
• Familiarity with PyTorch, Tensor Flow, scikit-learn, Lang Chain, Llama Index, 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