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# Information Technology_USA - USA_Developer job in Jacksonville

- **Company:** Real Soft Inc.
- **Location:** Jacksonville, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Business Software, Cloud Computing, Continuous Integration, Python (Programming Language), Machine Learning, Azure Machine Learning, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Microsoft Fabric, Microsoft Copilot Studio, Information Technology, CrewAI, RAGAS (Retrieval Augmented Generation Assessment), Azure OpenAI API, Azure AI, Model Context Protocol, Semantic Kernel, Software Version Control, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://jobs.diversity.com/career/2544725/information-technology_usa-usa_developer-florida-fl-jacksonville

## About the Role

&bull Technical Skills: Proficiency in Python, prompt engineering, and utilizing frameworks like LangChain, Semantic Kernel, or crewAI.
&bull Cloud Experience: Deep understanding of the Microsoft Azure ecosystem, including Azure OpenAI Service, Azure Machine Learning, and Microsoft Fabric.
&bull AI Governance: Strong focus on Responsible AI and Model Context Protocol (MCP) to ensure security, privacy, and fairness in model outputs.
&bull Experience: Typically requires a bachelor's degree in computer science or a related field, alongside 2-5+ years of software or AI/ML engineering experience

Skills: AI and Automation~Communication
Experience Required: 8-10, Project Code

## Description

An Azure AI Foundry AI Engineer designs, builds, and deploys intelligent generative AI, agentic workflows, and RAG (Retrieval-Augmented Generation) applications. This role requires coding with Python, orchestrating AI models, and adhering to responsible AI standards for enterprise scalability, &bull AI & Agent Development: Design autonomous or semi-autonomous AI agents and RAG pipelines using Azure AI Foundry (formerly Azure AI Studio).
&bull Model Orchestration & Integration: Build and fine-tune large language models (LLMs) and integrate them with business applications, Copilot Studio, and data pipelines.
&bull Testing & Evaluation: Implement performance and evaluation tooling (such as RAGAS or TruLens) to assess grounding accuracy, reduce hallucinations, and ensure model explainability.
&bull Infrastructure Management: Develop scalable AI infrastructure and maintain reusable AI components in accordance with engineering best practices (version control, observability, CI/CD