Machine Learning Engineer, Artificial Intelligence

City National Bank of Florida

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

Posted 10/23/2026full-timeCoral Gables • Florida • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python application development for generative AI and machine learning, with a strong focus on building and integrating AI models using Azure technologies. Proficient in implementing robust data handling, validation, and evaluation processes within enterprise applications.

Highest-signal resume keywords

Python ProficiencyFastAPI DevelopmentAzure OpenAI IntegrationRAG Pipeline ImplementationAI Quality Measurement

ATS Keywords

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Hard Skills

Object-Oriented ProgrammingData StructuresAlgorithmsModular DesignClean-Code PrinciplesPydanticSQLPytestDocument ProcessingTransformers

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Azure AI SearchLangChainLangGraphDockerCI/CD

Certifications & Qualifications

Bachelor's Degree in Computer ScienceData ScienceEngineeringApplied Mathematics/Statistics

Industry Keywords

BankingFinancial ServicesLendingFraudResponsible AI

Tech Stack

Tools & technologies

AzureCloudDockerPostgresPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

4–5 years of professional software development experience
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
Practical experience building LLM-powered applications using OpenAI, Azure OpenAI, or comparable model APIs
Understanding of transformers, embeddings, tokenization, semantic search, and model inference
Hands-on experience with RAG, including document ingestion, chunking strategies, retrieval, grounding, and evaluation
Experience with LangChain, LangGraph, or comparable orchestration frameworks
Experience with prompt design, structured generation, function/tool calling, and output validation
Ability to measure and improve AI quality rather than relying solely on subjective demonstrations
Experience with Azure or another major cloud platform; Azure experience is preferred
Familiarity with Docker, CI/CD, application logging, monitoring, and automated testing
Ability to troubleshoot API failures, retrieval defects, latency, token usage, and model-related errors
Bachelor's Degree in computer science, data science, engineering, applied mathematics/statistics, information systems, or a related quantitative field, or equivalent combination of education and experience
Experience with Azure AI Search, hybrid search, reranking, or vector databases is preferred
Experience building AI agents that call enterprise APIs and tools is preferred
Familiarity with Model Context Protocol (MCP) is preferred
Experience with PostgreSQL, Azure Blob Storage, or document-processing pipelines is preferred
Experience in banking, financial services, lending, fraud, or another regulated industry is preferred
Familiarity with responsible AI, data privacy, and auditability is preferred

Benefits

Comp & perks

Equal Opportunity Employer
Reasonable accommodations for applicants participating in the interview process, in accordance with applicable law