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# AI Engineer (.NET / Azure AI Foundry)

- **Company:** Akaasa Technologies
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $150,000.0
- **Contract:** Temporary to permanent
- **Skills:** ASP.NET, .NET Framework, Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Code Review, Computer Programming, Software Debugging, Search Technologies, Software Construction, SQL Databases, Enterprise Software Applications, .NET Core, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Microsoft Fabric, Restful APIs, Web Api, Microservices
- **Published:** August 7, 2026
- **Apply:** https://www.careerjet.com/jobad/us940a1d384cb136abbcebad8ea4e92e21

## About the Role

* Strong hands-on experience with Azure AI Foundry and Generative AI.
 * Experience with Azure OpenAI, LLMs, RAG, and Prompt Engineering.
 * Strong programming skills in C#, .NET/.NET Core, ASP.NET Core, and Web API.
 * Experience developing REST APIs and microservices.
 * Strong knowledge of Microsoft Azure services, cloud deployment, and SQL databases.
 * Experience with AI orchestration frameworks such as Semantic Kernel, LangChain, or similar.
 * Strong analytical, debugging, and problem-solving skills.
 * Excellent communication and collaboration skills.

## Description

Our client is seeking an experienced AI Engineer with strong expertise in .NET development and Azure AI technologies to build and integrate AI-powered enterprise applications. The ideal candidate will have hands-on experience with Azure AI Foundry, Azure OpenAI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and C#/.NET Core., * Design, develop, and maintain enterprise applications using C#, .NET/.NET Core, and ASP.NET Core.

 * Develop AI-powered solutions using Azure AI Foundry, Azure OpenAI, LLMs, and RAG architectures.
 * Build and integrate AI capabilities into existing .NET applications.
 * Develop REST APIs, microservices, and cloud-native solutions on Microsoft Azure.
 * Implement prompt engineering, AI agents, embeddings, and vector search solutions.
 * Collaborate with product owners, architects, and engineering teams to deliver scalable AI applications.
 * Perform code reviews, troubleshoot application issues, and optimize performance.
 * Follow software engineering best practices to ensure secure, reliable, and maintainable solutions.


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