Build scalable AI applications with Python, SQL, and agentic systems as a full time AI Data Engineer at Citi. Apply hands-on software engineering in financial services.

This AI Data Engineer develops production-grade enterprise solutions supporting business processes and client delivery. You will create data pipelines, integrate machine learning models, and build APIs, microservices, and reusable AI components. The work includes LLMs, Retrieval-Augmented Generation, intelligent automation, and agentic workflows.

Key Responsibilities:
Design intelligent agents covering perception, reasoning, planning, and execution
Develop governed, secure data pipelines for AI workloads
Integrate LLMs, reinforcement learning, and predictive models
Build Python or Java applications, APIs,



and microservices
Document agent designs, implementations, and operational procedures

Requirements:
Five-plus years of qualified software development experience
Two-plus years in AI/ML, Generative AI, or intelligent automation
Solid Python and SQL proficiency; Java is a plus
Experience with LLM applications, Prompt Engineering, and RAG
Bachelor’s degree or equivalent experience

Bring software, data engineering, and Generative AI expertise to Citi’s scalable agentic technology solutions.
J-18808-Ljbffr

📌 Generative Ai Data Engineer Mississauga (Canada)
🏢 Citigroup
📍 Canada