Machine Learning/AI Engineer

Requisitos

• Strong hands-on Python backend development and production-grade services with frameworks like FastAPI
• Strong SQL and data analysis skills with large structured datasets
• Proven experience building LLM/GenAI applications beyond proof-of-concept
• Hands-on experience with at least one agent/workflow orchestration framework (LangGraph, Google ADK, CrewAI, AutoGen, Semantic Kernel, or..
• Solid understanding of tool/function calling and designing reusable tools for agents

Desejáveis

• Experience in financial services (regulatory reporting, capital markets, trade lifecycle, post-trade, reconciliations, exception manageme..
• Familiarity with regulations such as EMIR, MiFID II, or SFTR
• Experience with Model Context Protocol (MCP) and reusable agent tool interfaces
• Knowledge of Knowledge Graphs, Graph RAG, or data lineage concepts
• Experience with vector databases, hybrid search, or re-ranking