You have deep knowledge of LLMs (such as GPT-4, Claude, Llama, or Mistral), spanning prompt engineering, fine-tuning, and production evaluation, and hands-on experience designing context augmentation systems: vector RAG (hybrid search, re-ranking, multi-tenant isolation), CAG, agentic file exploration, Text-to-SQL, knowledge graphs, fine-tuning, and MCP-based context engineering. Responsibilities include, but are not limited to: AI Architecture and Pipeline Design:Architecting context augmentation pipelines: vector RAG, CAG, agentic file exploration, Text-to-SQL, knowledge graphs, fine-tuning, or MCP-based context engineering, selecting the right approach for each use case.