Senior AI Software Engineer — Agentic AI, LangGraph & Azure

Overview

City National Bank of Florida is seeking a highly experienced, hands-on Senior AI Software Engineer to architect, develop, and deploy secure, scalable, production-grade AI applications and agentic workflows.

This engineer will take technical ownership of critical AI application components, establish engineering standards, mentor other developers through code reviews and design collaboration, and turn business requirements into reliable software.

The role requires deep Python engineering capability alongside practical experience with LLM orchestration, RAG, APIs, Azure cloud services, testing, security, and production operations. The successful candidate must be comfortable designing the solution and implementing it personally.

What You'll Do:

• 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 appropriate secrets management.

• Containerize and deploy services through CI/CD pipelines to Azure Container Apps (ACA), with 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 defects, and mentor other engineers while remaining an active developer.