Applied AI Engineer: LLMs, RAG & Azure

City National Bank (CNB); Coral Gables (FL); On-site; USD 140,000 - 200,000; Full time

Job summary

City National Bank of Florida is seeking a hands-on Machine Learning / AI Engineer to develop enterprise‑grade AI applications, RAG systems, and agentic AI workflows for banking use cases including document analysis, credit writing, and risk management.

You will design and deploy production Python applications, build RAG pipelines, and integrate Azure OpenAI with enterprise search. Collaboration with risk, compliance, and senior AI leadership is essential.

Qualifications

• Hands-on software development experience in Python and production‑grade AI applications.
• Experience building LLM-powered applications with OpenAI, Azure OpenAI, or similar APIs.
• Proficiency with FastAPI, REST APIs, Pydantic, SQL, Git, pytest, and debugging.
• Experience with RAG, document ingestion, embeddings, and grounding.
• Familiarity with LangChain, LangGraph, or comparable orchestration frameworks.

Responsibilities

• Design, develop, test, and maintain production‑quality Python applications for generative AI and ML.
• Build RAG pipelines with document ingestion, chunking, embeddings, and grounded response generation.
• Develop AI agents and workflows using LangChain v1 and LangGraph.
• Integrate Azure OpenAI models and Azure AI Search into enterprise apps.
• Implement structured outputs with Pydantic and robust error handling.
• Develop REST APIs and backend services using FastAPI or equivalent.

Skills

Python

OOP concepts

REST APIs

Pydantic

SQL

Git

pytest

FastAPI

LangChain

LangGraph

Azure OpenAI

Education

Bachelor's Degree in CS/Math/Engineering

Master's Degree preferred

Tools

Docker

CI/CD

Azure

Monitoring & Logging

Job description

City National Bank of Florida is seeking a hands-on Machine Learning / AI Engineer to develop enterprise‑grade AI applications, RAG systems, and agentic AI workflows for banking use cases including document analysis, credit writing, and risk management.

You will design and deploy production Python applications, build RAG pipelines, and integrate Azure OpenAI with enterprise search. Collaboration with risk, compliance, and senior AI leadership is essential.