AI Engineer - Capital Markets Trading Intelligence

We're building an AI\-powered tool that automatically delivers real\-time trading information and insights, starting with rollout to institutional clients before expanding to private banking and wealth management. This is a high\-visibility, cutting\-edge role at the intersection of capital markets and applied AI. **Responsibilities** * Design and build an AI system that surfaces trading information automatically, tailored to the needs of institutional, private banking, and wealth management users * Implement MCP (Model Context Protocol) integrations to connect the system to live trading data feeds * Build RAG (Retrieval\-Augmented Generation) pipelines against internal banking systems to ground outputs in proprietary data * Perform post\-training (fine\-tuning / adaptation) on an existing LLM to specialize it for capital markets use cases * Design, build, and run benchmarks to evaluate model performance against real\-world trading and banking use cases * Own the rollout strategy across client segments, iterating based on feedback from each phase (institutional → private banking → wealth management) **Profile** * Minimum Bachelors degree in IT/Computer Science or other relevant discipline * Strong capital markets domain knowledge: you need to understand trading concepts, market data, and institutional/private banking workflows * Hands\-on experience post\-training or fine\-tuning LLMs * Experience building RAG systems, ideally against enterprise/internal data sources * Familiarity with MCP or similar protocols for connecting LLMs to live external data * Experience designing evaluation frameworks and benchmarks for LLM\-based systems * Comfort working in a fast\-moving, ambiguous environment building something genuinely novel