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# AI Engineer

- **Company:** Robert Half
- **Location:** Jacksonville, FL, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Software Applications, Application Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Code Review, Software Design Patterns, DevOps, Key Management, Microsoft SQL Server, Performance Tuning, OpenAI, Microsoft Copilot, Azure Machine Learning, Software Engineering, TypeScript, Enterprise Search, Azure Service Bus, Enterprise Software Applications, Chatbots, .NET Core, Spring Cloud, ReactJS, Blazor, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Software Application Programming, Generative AI, Backend, Agentic-AI, AngularJS, Kubernetes, Azure OpenAI API, Cosmos DB, Front End Software Development, Restful APIs, Semantic Kernel, Data Pipelines, Serverless Computing, Docker, Programming Languages, Microservices
- **Published:** November 7, 2026
- **Apply:** https://dejobs.org/x/x/57E9DF5239384AA9AB7FC72DE016F26B/job/

## About the Role

* 5+ years of software engineering experience.
 * Strong experience developing applications with:
 * C#
 * .NET Core/.NET 8+
 * REST APIs
 * SQL Server
 * Experience building cloud-native solutions within Microsoft Azure.
 * Experience with Azure services such as:
 * Azure Functions
 * Azure App Services
 * Azure Service Bus
 * Azure Storage
 * Azure Key Vault
 * Hands-on experience with modern AI and Generative AI technologies.
 * Experience integrating Large Language Models into enterprise applications.
 * Strong understanding of software design patterns and microservices architecture.
 * Experience working within Agile development environments.

Preferred Qualifications

 * Experience with:
 * Azure OpenAI Service
 * LangChain
 * Semantic Kernel
 * Prompt Engineering
 * Vector Databases
 * RAG Implementations
 * Front-end development experience with:
 * React
 * Angular
 * TypeScript
 * Experience with DevOps and CI/CD pipelines.
 * Knowledge of Docker and Kubernetes.
 * Experience deploying AI applications into production environments.
 * Azure Certifications are strongly preferred.

Desired Technical Stack

Languages & Frameworks

 * C#
 * .NET Core / .NET 8+
 * JavaScript / TypeScript
 * React or Angular

Cloud & DevOps

 * Microsoft Azure
 * Azure OpenAI
 * Azure Functions
 * Azure DevOps
 * Docker
 * Kubernetes

AI & Data

 * Azure AI Services
 * OpenAI
 * LangChain
 * Semantic Kernel
 * Vector Databases
 * RAG Architecture
 * Prompt Engineering
 * SQL Server
 * Cosmos DB
Technology Doesn't Change the World, People Do.®

## Description

We are seeking an experienced AI Engineer to join a growing technology team focused on building intelligent, scalable, and cloud-native applications. This role is ideal for a hands-on engineer who combines strong .NET full-stack development experience with expertise in Microsoft Azure and modern AI technologies, including Large Language Models (LLMs), Generative AI, and AI-powered automation solutions.

You will play a key role in designing, developing, and deploying next-generation applications that leverage artificial intelligence to improve business operations, customer experiences, and decision-making.

Responsibilities

 * Design, develop, and deploy AI-powered applications using Azure services and modern AI frameworks.
 * Build and integrate Generative AI solutions utilizing Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and conversational AI technologies.
 * Develop scalable backend services utilizing C#, .NET Core, APIs, and microservices architectures.
 * Build modern front-end applications using technologies such as React, Angular, or Blazor.
 * Develop AI agents, copilots, chatbots, and workflow automation solutions.
 * Integrate Azure AI services including:
 * Azure OpenAI
 * Azure Cognitive Services
 * Azure AI Search
 * Azure Machine Learning
 * Design and optimize data pipelines supporting AI and analytics initiatives.
 * Collaborate with product, business, and engineering teams to identify AI use cases and technical solutions.
 * Implement best practices around security, scalability, monitoring, and performance optimization.
 * Participate in architecture discussions, code reviews, and technical leadership activities.