Building AI Agents for Finance: Build and deploy robust financial agentic systems with advanced reasoning, architectures, and Python

Building AI Agents for Finance by Hanane Dupouy and Fayssal El Mofatiche explores the engineering of autonomous systems for financial analysis, market research and data retrieval. It introduces large language models and agent architectures before moving into Python implementations, retrieval-augmented generation (RAG), tool use and multi-step workflows. The book also discusses evaluation, benchmarking, API connectivity and deployment within financial infrastructure, with attention to security, compliance and output validation. Its technical focus suits fintech engineers, quantitative researchers and data scientists studying how to move from conversational prototypes to operational financial systems. It pairs well with our guides on trading systems and risk management.