LangChain Jobs

I want this project to mature into a professional guide that shows industry leaders how advanced agentic AI can transform modern supply-chain design, planning and execution. From defining the narrative arc to polishing the last reference, I’m looking for a true co-author: somebody who has already shepherded at least one technical title through Springer (or an equivalent top-tier imprint) and who also codes, prototypes and speaks the language of agentic AI. Here’s what I envision. We will begin by mapping the chapter flow together, anchoring each section around hands-on demonstrations of multi-agent frameworks, reinforcement-learning optimisers, and large-language-model orchestration inside supply-chain scenarios. You will expand these ideas into well-structured prose, diagrams...

Design Refinement Refine your initial concept by specifying how your agent will reason, what memory it will require, and which tools it may need to complete its tasks effectively. 2. RAG and Retrieval Design Integration Decide whether your agent requires external knowledge or retrieval. You will define how retrieval, data grounding, and memory design will support more reliable outputs. 3. Tree-of-Thought Integration Plan Identify where structured reasoning can improve your agent. You will define how branching, evaluation, and selection could strengthen performance on more complex tasks. 4: Multi-Agent Architecture and Coordination Plan Extend your design into a multi-agent workflow. You will define specialized agent roles, communication patterns, and coordination logic to support more ...