Experience in the following is not required, but preferred: Hands-on exposure to AI or LLM-based development, including prompt engineering, RAG, tool or function calling, or agentic frameworks such as LangGraph, AutoGen, CrewAI, or Semantic Kernel. This role may be a good fit if you: Have spent years building embedded, real-time, signal-processing, or mission-critical software, for example in aerospace, defense, space, telecom, medical, or industrial systems, and want to move into applied AI without starting over.