City National Bank of Florida is seeking a hands-on Senior AI Software Engineer to architect, develop, and deploy secure, scalable, production-grade AI applications and agentic workflows. This role is focused on Python-based backend services, LangGraph and LangChain orchestration, and enterprise RAG implementations on Azure with an emphasis on production operations.
Responsibilities
- Design and implement production-grade AI applications and backend services using Python, FastAPI, and modern engineering practices.
- Lead technical implementation of stateful, multi-step agentic workflows using LangGraph and LangChain v1.
- Implement graph state management and workflow controls including conditional routing, checkpointing, retries, recovery, idempotency, and controlled execution.
- Build enterprise RAG architectures covering ingestion, chunking, embeddings, Azure AI Search, hybrid retrieval, reranking, metadata filtering, and source-grounded generation.
- Integrate Azure OpenAI, enterprise APIs, document repositories, databases, and internal systems using secure API contracts.
- Design and implement MCP servers and tools, including authentication, authorization, input validation, and appropriate access controls.
- Create reusable application components, API interfaces, shared libraries, and common AI engineering patterns.
- Implement human-in-the-loop approval gates, workflow state persistence, audit trails, and safeguards to prevent unauthorized downstream actions.
- Establish automated quality gates for unit testing, integration testing, retrieval evaluation, agent behavior, security, and regression testing.
- Engineer for reliability, scalability, latency, cost, observability, and maintainability.
- Implement secure cloud application patterns using Azure identity, managed identities, Key Vault, network controls, and secrets management.
- Containerize and deploy services via CI/CD pipelines to Azure Container Apps (ACA), using Azure Kubernetes Service (AKS) where workload requirements justify it.
- Integrate Azure Monitor and application telemetry for logs, metrics, tracing, incident investigation, and operational support.
- Review code, guide implementation decisions, troubleshoot complex production issues, and mentor other engineers while remaining an active developer.
- Partner with AI leadership, application teams, architecture, cybersecurity, model risk, legal, and business stakeholders to deliver governed banking AI solutions.
Requirements
- Approximately 8 years of professional software engineering experience, including substantial hands-on Python development.
- Strong understanding of software architecture, design patterns, SOLID principles, concurrency, asynchronous programming, API design, and distributed systems.
- Experience with FastAPI (or equivalent), Pydantic, SQL, Git, pytest, and automated code-quality practices.
- Demonstrated ability to design, implement, test, deploy, and troubleshoot production services.
- Hands-on experience delivering LLM-powered applications beyond proof-of-concept.
- Practical knowledge of LangGraph and LangChain (direct LangGraph experience strongly preferred).
- Experience with stateful workflows, tool calling, conditional execution, structured outputs, retries, failure recovery, and human approval patterns.
- Strong knowledge of end-to-end RAG, embeddings, vector and hybrid search, reranking, grounding, and retrieval evaluation.
- Experience designing repeatable LLM evaluation and regression-testing strategies.
- Ability to diagnose hallucinations, retrieval failures, prompt-injection risks, tool misuse, and inconsistent agent behavior.
- Hands-on experience with Azure OpenAI and preferably Azure AI Search.
- Experience with Azure identity and security services, including managed identities and Key Vault.
- Experience with Docker, CI/CD, cloud deployments, automated testing, monitoring, and production troubleshooting.
- Experience building secure APIs and integrating enterprise systems.
- Strong understanding of authentication, authorization, least privilege, data protection, and auditability.
Technologies
- Python, FastAPI, LangGraph, LangChain v1, Azure OpenAI, Azure AI Search, MCP
- Pydantic, SQL, Git, pytest, Docker, CI/CD
- Azure Container Apps (ACA), Azure Kubernetes Service (AKS)
- Azure Monitor, Azure identity, managed identities, Key Vault, Azure Database for PostgreSQL, PostgreSQL
- OpenTelemetry
Preferred Qualifications
- Production experience implementing MCP servers and secure enterprise tools.
- Experience with Azure Container Apps and Azure Kubernetes Service.
- Experience with PostgreSQL or Azure Database for PostgreSQL, persistent workflow state, and object storage.
- Experience with enterprise document processing and financial data extraction.
- Experience with OpenTelemetry, distributed tracing, AI observability, latency optimization, and token-cost management.
- Banking or other regulated-industry experience, especially credit, lending, fraud, or risk workflows.
- Experience with model governance, explainability, human oversight, and responsible AI practices.
Location
Onsite in Coral Gables, FL 33134
Interview Guidelines
- Applicants are not permitted to use AI-enabled devices during interviews, including AI glasses or similar wearable technology that can record, transmit, or generate real-time information.
Equal Opportunity
City National Bank of Florida is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, and Florida law. We comply with the ADA and applicable Florida laws.
Accommodation Requests
Applicants who require a reasonable accommodation to participate in the interview process should contact talent.attraction@citynational.com in advance of the interview to submit an accommodation request.
