Senior LLM / Agentic AI Architect for Mentoring & Architecture Sessions

We are building a next-generation AI platform in the energy sector that combines Large Language Models with quantitative optimization, domain knowledge, and software engineering. I am looking for an experienced Senior LLM / Agentic AI Consultant who has already designed and implemented production-grade AI systems and can act as an architecture mentor rather than simply writing code. The initial engagement will be an introductory architecture workshop based on the attached agenda. If we work well together, I expect this to become an ongoing collaboration with regular weekly sessions. WHAT I AM LOOKING FOR I need someone who can explain the architecture behind modern LLM applications and help me make the right technology decisions from the beginning. The first session should follow the attached agenda. Topics include (among others): Modern LLM ecosystem AI application architecture Agentic AI Multi-Agent Systems Tool Calling MCP RAG Vector Databases Memory architectures Evaluation strategies Cost optimization AI software architecture Building production-ready AI systems Applying these concepts to my own project DESIRED EXPERIENCE Please apply only if you have hands-on experience building real-world AI systems. Ideally you have experience with: OpenAI APIs Claude APIs Gemini APIs Agentic AI LangGraph LangChain (where appropriate) MCP RAG architectures Vector databases AI orchestration AI evaluation frameworks Production deployment AI software architecture Experience building AI products (rather than prototypes) is highly preferred. IMPORTANT I am not looking for: - prompt engineering only - chatbot development only - simple API integrations - junior AI developers I am looking for someone who understands how to build complete AI platforms. LONG_TERM COLLABORATION If the collaboration is successful, I expect ongoing weekly sessions covering topics such as: - architecture reviews - technology selection - AI system design - code reviews - design discussions - implementation guidance - best practices - new developments in the LLM ecosystem PLEASE INCLUDE IN YOUR PROPOSAL - A brief description of the most sophisticated AI system you have built. - Your experience with Agentic AI. - Your experience with RAG. - Your experience with MCP. - Which frameworks you currently recommend and why. PREFERRED CANDIDATE Someone who enjoys discussing architecture, explaining complex concepts, challenging design decisions, and helping build AI products from first principles—not just implementing tickets.