AI/ML Engineer - Financial Market Intelligence Platform

We are developing an internal AI-powered Market Intelligence Platform for financial market analysis, focusing on Forex, Gold, and US Treasury markets. The platform already includes a Python backend, financial data APIs, real-time macroeconomic indicators, financial news, AI-powered analysis modules, and a database of historical market events. We are looking for an experienced AI/ML Engineer to help us improve the existing architecture and develop a more advanced intelligence system. Key objectives: 1. Integrate information from multiple modules into a unified AI analysis system. 2. Develop LLM/RAG capabilities to retrieve and analyse historical market cases. 3. Connect real-time macroeconomic data, Treasury yields, financial news, and historical price reactions. 4. Develop AI agents capable of identifying market drivers and evaluating potential market direction. 5. Implement a validation mechanism to assess AI-generated conclusions and detect inconsistencies. 6. Improve the system's ability to learn from historical cases and compare them with current market conditions. The goal is not automated trading or generating BUY/SELL signals. We want to build an intelligent analytical system capable of explaining market movements and evaluating potential daily, weekly, and monthly market direction. The initial objective is to review our existing architecture, assess technical feasibility, and discuss potential implementation approaches. We would appreciate an initial technical discussion before agreeing on the scope, timeline.