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 modulesIntegrate machine learning models to improve agent decisionsDevelop reusable services, microservices, APIs,



and AI componentsUse and contribute to agentic frameworks and development toolsCollaborate across teams to integrate agentic solutionsRequirements:
Five-plus years of professional software development experienceTwo-plus years with AI/ML or Generative AI solutionsKnowledge of embeddings, vector databases, RAG, and agentic frameworksFamiliarity with LangChain, LangGraph, CrewAI, or AutoGenExperience with cloud platforms and Docker or KubernetesApply agent design, software development, and machine learning expertise to Citi’s enterprise AI capabilities.
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📌 Agentic Ai Software Engineer (Winnipeg)
🏢 Citigroup
📍 Winnipeg