Senior AI Software Engineer – Agentic AI, LangGraph, Azure

City National Bank of Florida

. Design and implement production-grade AI applications and backend services using Python, FastAPI, and modern software engineering practices .

Posted 10/26/2026full-timeCoral Gables • Florida • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing production-grade AI applications using Python, FastAPI, and Azure technologies, with a strong focus on secure API integration and automated testing practices. Proven ability to lead complex workflows and ensure reliability, scalability, and compliance in regulated environments.

Highest-signal resume keywords

Python DevelopmentFastAPI FrameworkLangGraph ExperienceAzure OpenAI IntegrationCI/CD Pipeline Deployment

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitectureAPI DesignAsynchronous ProgrammingSQLDockerPostgreSQLAutomated TestingGraph State ManagementRAG ArchitectureMCP Server Implementation

Soft Skills

MentoringCollaborationTroubleshootingCommunicationLeadership

Tools & Technologies

Azure AI SearchAzure Kubernetes ServiceKey VaultOpenTelemetryAzure Monitor

Industry Keywords

Banking AI SolutionsRegulated Industry ExperienceModel GovernanceHuman OversightData Protection

Tech Stack

Tools & technologies

AzureCloudCyber SecurityDistributed SystemsDockerKubernetesPostgresPythonSQLVault

About the role

Key responsibilities & impact

Design and implement production-grade AI applications and backend services using Python, FastAPI, and modern software engineering practices
Lead the technical implementation of stateful, multi-step agentic workflows using LangGraph and LangChain v1
Implement graph state management, conditional routing, checkpointing, retries, recovery, idempotency, and controlled execution
Build enterprise RAG architectures incorporating 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 with authentication, authorization, input validation, and appropriate access controls
Build 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 prevention of 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 through CI/CD pipelines to Azure Container Apps, with Azure Kubernetes Service where justified
Integrate Azure Monitor and application telemetry for logs, metrics, tracing, incident investigation, and operational support
Review code, guide implementation decisions, troubleshoot complex production defects, and mentor other engineers while remaining an active developer
Collaborate with AI leadership, application teams, architecture, cybersecurity, model risk, legal, and business stakeholders to deliver governed banking AI solutions

Requirements

What you’ll need

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 an equivalent backend framework, 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 demonstrations
Strong practical knowledge of LangGraph and LangChain or equivalent frameworks, with 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
Production experience implementing MCP servers and secure enterprise tools preferred
Experience with Azure Container Apps and Azure Kubernetes Service preferred
Experience with PostgreSQL or Azure Database for PostgreSQL, persistent workflow state, and object storage preferred
Experience with enterprise document processing and financial data extraction preferred
Experience with OpenTelemetry, distributed tracing, AI observability, latency optimization, and token-cost management preferred
Banking or other regulated-industry experience, especially credit, lending, fraud, or risk workflows preferred
Experience with model governance, explainability, human oversight, and responsible AI practices preferred
Bachelor's or master's degree in Computer Science, Software Engineering, AI, or a related field, or equivalent practical experience
Applicants are not permitted to use AI-enabled devices during interviews

Benefits

Comp & perks

Hybrid workplace policy
Mentorship and code-review collaboration
Equal Opportunity Employer
Reasonable accommodations for the interview process in accordance with applicable law