The ideal candidate has deep experience with LLM platforms and frameworks such as OpenAI, Claude, Gemini, Bedrock, LangChain, LangGraph, or CrewAI, as well as data engineering technologies including Snowflake, Databricks, ETL/ELT pipelines, and vector databases such as Pinecone, Weaviate, or Chroma. The engineer will develop solutions using large language models, AI agents, RAG, semantic search, and workflow automation to improve productivity, automate business processes, and create intelligent knowledge and decision-support capabilities.