Agentic AI Data Engineer: LLMs, RAG & Pipelines

Citi; Mississauga; On-site; CAD 94,000 - 142,000; Full time

Job summary

Citi in Mississauga is seeking a highly motivated AI Data Engineer to design, build, and deploy AI-powered applications and agentic workflows that enhance business processes and client delivery.

You will collaborate with architects, data scientists, and software engineers to implement LLM-based solutions, data pipelines, and scalable services using Python, SQL, and cloud platforms. This role blends hands-on development with architectural thinking in a regulated financial services environment.

Qualifications

• 5+ years of professional software development experience.
• 2+ years working with AI/ML, Generative AI, or intelligent automation.
• Financial services experience preferred.
• Proficiency in Python and SQL; Java is a plus.
• Experience with Generative AI and LLM-based applications.
• Knowledge of Prompt Engineering, RAG, embeddings, vector DBs.
• Familiarity with LangChain, LangGraph, CrewAI, AutoGen.
• Experience with cloud platforms (AWS, Azure, GCP) and Docker/Kubernetes.
• Bachelor’s degree or equivalent.

Responsibilities

• Agent Design and Development: Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules.
• Data Engineering & Integration: Design and develop data pipelines supporting AI and machine learning workloads. Ensure data quality, lineage, governance, and security requirements are met.
• Machine Learning Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making.
• Software Engineering: Develop production-grade applications and APIs using Python and/or Java. Build reusable services, microservices, and AI components.
• Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools.
• Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions.
• Collaboration: Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services.
• Documentation: Create comprehensive technical documentation for agent designs, implementations, and operational procedures.

Skills

Python

SQL

AI/ML

Generative AI

LLMs

Prompt Engineering

RAG

Embeddings

Vector DBs

LangChain

LangGraph

CrewAI

AutoGen

Cloud AWS

Azure

GCP

Docker

Kubernetes

Finance domain

Education

Bachelor’s degree

Tools

Docker

Kubernetes

OpenAI

Azure

GCP

LangChain

LangGraph

CrewAI

AutoGen

Vector DBs

Job description

Citi in Mississauga is seeking a highly motivated AI Data Engineer to design, build, and deploy AI-powered applications and agentic workflows that enhance business processes and client delivery.

You will collaborate with architects, data scientists, and software engineers to implement LLM-based solutions, data pipelines, and scalable services using Python, SQL, and cloud platforms. This role blends hands-on development with architectural thinking in a regulated financial services environment.