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 qualified 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.

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