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