Undergraduate degree in a technical field with a strong background in the application of AI/ML Comfortable interacting with customers and subject matter experts, translating complex concepts into practical language and impacts Capable of developing prototype solutions using common tools (e.g., FastAPI, React) Familiar with generative AI concepts like RAG, prompt engineering, agents, structured output, multi-modal LLMs, and various embedding models Strong programming skills in Python required. Experience in java and html a plus. Experience working with or in the DoD, US Intelligence Community, or US Federal Civilian agencies Experience training and employing predictive AI models in a government context Solid knowledge of LLM Frameworks such as LangChain, LlamaIndex, Transformers Familiarity with common APIs, including OpenAI, GraphQL, FastAPI Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone, FAISS, OpenSearch, and Neo4j Familiar with Offensive or Defensive cybersecurity principles, including defensive best practices, threat intelligence, common control mechanisms, and Layer 2+ analysis and exploitation