Enterprise AI & LLM Engineer (Python, Azure)

Latitude; Coral Gables (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Coverage

401(k) with matching

Paid Time Off

Wellness resources

Job summary

City National Bank of Florida is seeking a hands-on Machine Learning / AI Engineer to build enterprise-grade AI applications, RAG systems, and agentic AI workflows. You will work on banking use cases like document analysis, credit writing, and risk prevention.

The role emphasizes Python software engineering, testing, and deployment of LL-powered solutions in production. Collaboration with risk/compliance teams is expected.

Qualifications

• 4+ years of professional software development experience.
• Strong Python proficiency and software design skills.
• Experience building LLM-powered applications and AI pipelines.

Responsibilities

• Design, develop, test, and maintain production-quality Python apps for generative AI.
• Build RAG pipelines with ingestion, chunking, embeddings, and grounding.
• Develop AI agents using LangChain v1 and LangGraph.
• Integrate Azure OpenAI models and Azure AI Search.
• Implement structured outputs with Pydantic and deterministic rules.
• Develop REST APIs and backend services (FastAPI).
• Write unit/integration tests and participate in CI/CD.

Skills

Python proficiency

OO programming

Data structures

Algorithms

REST APIs

FastAPI

Pydantic

SQL

Git

pytest

Education

Bachelor's degree in CS/DS/Engineering

Master's degree (preferred)

Tools

LangChain

LangGraph

Azure OpenAI

Azure AI Search

Docker

CI/CD

PostgreSQL

Azure Blob Storage

FastAPI

Job description

City National Bank of Florida is seeking a hands-on Machine Learning / AI Engineer to build enterprise-grade AI applications, RAG systems, and agentic AI workflows. You will work on banking use cases like document analysis, credit writing, and risk prevention.

The role emphasizes Python software engineering, testing, and deployment of LL-powered solutions in production. Collaboration with risk/compliance teams is expected.