Engineer agentic AI workflows using LLMs, RAG, and Python in Citi’s full time technology team. Create scalable applications for regulated financial services. As an AI Data Engineer, you will implement intelligent agents and integrate AI-driven capabilities into broader products and services. The hands-on work combines software engineering, data integration, machine learning, and enterprise application development. Collaboration spans architects, product owners, researchers, data scientists, and engineering teams. Key Responsibilities:

Implement agents with perception, reasoning, planning, and action modules Integrate machine learning models to improve agent decisions Develop reusable services, microservices, APIs,



and AI components Use and contribute to agentic frameworks and development tools Collaborate across teams to integrate agentic solutions Requirements:

Five-plus years of professional software development experience Two-plus years with AI/ML or Generative AI solutions Knowledge of embeddings, vector databases, RAG, and agentic frameworks Familiarity with LangChain, LangGraph, CrewAI, or AutoGen Experience with cloud platforms and Docker or Kubernetes Apply agent design, software development, and machine learning expertise to Citi’s enterprise AI capabilities.

📌 Agentic AI Software Engineer (Mississauga)
🏢 Citigroup
📍 Mississauga