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skills and familiarity with LLM APIs (e.g., OpenAI API), agent frameworks (e.g. LangChain), PyTorch, and the Python scientific stack (e.g., numpy, pandas, scikit-learn). Experience with front-end
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& Pressure Vessel Code, API standards, R5, RCC-MRx, or similar documents. Coding experience in Python. Skilled in oral and written communications, with the ability to present research at all levels
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developing LLM-based applications using Python APIs. Experience with large scale molecular dynamics (MD) packages e.g. lammps Experience with version control (e.g., Git) and collaborative software development
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Face Transformers). Experience developing or working with large language models (LLMs), agentic systems, or autonomous AI agents. Demonstrated ability to integrate AI systems with external tools, APIs