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# AI Engineer

- **Company:** Robert Half
- **Location:** Jacksonville, FL, United States
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Computer Programming, Python (Programming Language), Machine Learning, OpenAI, Software Engineering, Enterprise Software Applications, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Software Troubleshooting, Llamaindex, Generative AI, Api Design, Restful APIs, Semantic Kernel, Automation Anywhere, Docker, Microservices
- **Published:** October 10, 2026
- **Apply:** https://dejobs.org/x/x/9C69AFFD0BF74F9B89E8E8D9D1BC5314/job/

## About the Role

* Experience building AI, machine learning, or Generative AI solutions.
 * Strong programming skills in Python.
 * Experience with LLMs, prompt engineering, and AI frameworks.
 * Experience working with REST APIs and microservices.
 * Knowledge of cloud platforms such as Azure or AWS.
 * Experience with vector databases, embeddings, and RAG architectures.
 * Strong troubleshooting and analytical skills.

Preferred Skills

 * Azure OpenAI or OpenAI API experience.
 * LangChain, Semantic Kernel, LlamaIndex, or similar frameworks.
 * Docker and Kubernetes experience.
 * Experience implementing AI governance and security controls.
Technology Doesn't Change the World, People Do.®

## Description

We are seeking an AI Engineer to design, develop, and deploy AI-powered applications that solve real business challenges. This role will work closely with software engineering, data, and business teams to build scalable solutions leveraging Generative AI, Large Language Models (LLMs), machine learning, and cloud platforms.

Responsibilities

 * Design and develop AI-powered applications and services.
 * Build and optimize prompts, RAG pipelines, and AI workflows.
 * Integrate OpenAI, Azure OpenAI, and other LLM platforms into enterprise applications.
 * Develop APIs and microservices that support AI solutions.
 * Collaborate with data engineers and software developers to deploy AI models into production.
 * Monitor model performance and improve accuracy, reliability, and scalability.
 * Implement AI security, governance, and responsible AI practices.
 * Document technical designs and best practices.