AI Software Engineer
expert in recruitment solutionsCoppell (TX)
AI Software Engineer
Posted 2 days ago
expert in recruitment solutionsCoppell (TX)
SENIORITY
Lead
About the role
Job DescriptionJob Description Title:
AI Software Engineer Location: Coppell, TX Work Arrangement: Onsite 5 Days Locals Only Duration: 6-Month Contract Experience Range: 8-10 years 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. Responsibilities & Qualifications 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 Requirements 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
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