Machine Learning Artificial Intelligence Engineer

Overview

City National Bank of Florida is seeking a hands-on Machine Learning / AI Engineer to develop enterprise-grade AI applications, retrieval-augmented generation (RAG) systems, and agentic AI workflows. The engineer will work on real banking use cases involving financial document analysis, credit writing, enterprise knowledge retrieval, risk and fraud prevention, and employee productivity.

The ideal candidate combines strong Python software engineering skills with practical experience building, testing, and deploying LLM-powered applications. This is a development-focused role, not a pure research or experimentation position.

What You'll Do:

• Design, develop, test, and maintain production-quality Python applications for generative AI and applied machine learning.

• Build RAG pipelines using document ingestion, parsing, chunking, embeddings, metadata filtering, hybrid search, reranking, and grounded response generation.

• Develop AI agents and workflow components using LangChain v1 and LangGraph.

• Integrate Azure OpenAI models and Azure AI Search into enterprise AI applications.

• Implement structured outputs using Pydantic, schema validation, deterministic business rules, and robust error handling.

• Build document validation, financial data extraction, summarization, classification, and analysis components.

• Implement automated evaluation datasets and tests to measure retrieval quality, answer correctness, grounding, and regression.

• Develop REST APIs and backend services using FastAPI or an equivalent Python framework.

• Write unit tests, integration tests, and mock-based tests; participate in code reviews and continuous integration.

• Implement secure handling of sensitive banking information, prompt-injection defenses, input validation, and appropriate AI guardrails.

• Deploy containerized applications and contribute to Azure monitoring, logging, troubleshooting, and performance optimization.

• Collaborate with senior engineers, AI leadership, business stakeholders, and risk and compliance teams.

Qualifications

Programming and software engineering

• 4–5 years of professional software development experience, with strong hands-on Python proficiency.

• Strong knowledge of object-oriented programming, data structures, algorithms, modular design, and clean-code principles.

• Experience with FastAPI, REST APIs, Pydantic, SQL, Git, pytest, and debugging.

Generative AI and machine learning

• Practical experience building LLM-powered applications using OpenAI, Azure OpenAI, or comparable model APIs.