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# AI Software Engineer

- **Company:** Upward Talent
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Agile Methodology, Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Software Quality, Continuous Integration, DevOps, Memory Management, Machine Learning, Software Engineering, Prompt Engineering, Generative AI, Build Management, AI Platforms, Virtual Agents, Restful APIs, Software Version Control, Microservices
- **Published:** August 30, 2026
- **Apply:** https://www.dice.com/job-detail/c6de8ebb-7d39-4083-899d-38031e33bee9

## About the Role

Our client is seeking an AI Software Engineer with 8-10 years of experience to design, develop, and deploy intelligent agents and AI-powered solutions using Microsoft Azure AI services. This role combines advanced .NET/C# development with cutting-edge AI and machine learning technologies in a fast-paced, collaborative environment., * 8-10 years of professional software engineering experience with demonstrated expertise in .NET and C#

 * Advanced proficiency in Microsoft Azure AI services, Azure OpenAI, Azure AI Foundry, and Cognitive Services
 * Strong expertise in prompt engineering, context engineering, RAG implementation, and vectorization/indexing techniques
 * Solid understanding of intelligent agent design, including tool use orchestration, action planning, memory management, and state management
 * Experience with RESTful API design, microservices architecture, and cloud-native development patterns
 * Proficiency with Git version control, CI/CD pipelines, and Agile development methodologies
 * Demonstrated ability to evaluate and optimize AI model outputs and agent behavior through systematic testing and validation

## Description

* Design, develop, and maintain scalable .NET/C# applications and cloud-native microservices using Azure infrastructure
 * Design and implement AI-powered solutions leveraging Microsoft Azure AI services, Azure OpenAI, and the Microsoft Agent Framework
 * Build and deploy intelligent agents with advanced capabilities including prompt engineering, context engineering, and retrieval-augmented generation (RAG) pipelines
 * Implement tool use orchestration, action planning, and memory management strategies to enable autonomous decision-making and agent responsiveness
 * Integrate RESTful APIs and external systems with intelligent agents; manage state, goals, and feedback loops for optimal performance
 * Evaluate and verify AI agent behavior and outputs using various testing techniques and validation tools
 * Collaborate with cross-functional teams (product managers, data scientists, DevOps) and mentor junior engineers on best practices and emerging AI technologies
 * Maintain code quality through peer reviews, CI/CD pipeline optimization, and adherence to Agile methodologies


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