AI Software Engineer

TheStaffed
  • Coppell, Texas
    3 days ago

    Job Description

    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

    Numbers & Facts

    LocationCoppell, Texas

    Skills

    • Agile Programming Methodologiesunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Best Practicesunmatched
    • Cloud Applicationsunmatched
    • Cloud Architectureunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Cross-Functionalunmatched
    • Data Scienceunmatched
    • DevOpsunmatched
    • Emerging Technologyunmatched
    • Engineeringunmatched
    • Gitunmatched
    • Machine Learningunmatched
    • Management Strategyunmatched
    • Memory Managementunmatched
    • Mentoringunmatched
    • Microservicesunmatched
    • Microsoft .NETunmatched
    • Microsoft Agentunmatched
    • Microsoft C# (C Sharp)unmatched
    • Microsoft Windows Azureunmatched
    • Quality Assurance Methodologyunmatched
    • Quality Managementunmatched
    • REST (Representational State Transfer)unmatched
    • Scalable System Developmentunmatched
    • Software Agentsunmatched
    • Software Engineeringunmatched
    • Source Code/Configuration Management (SCM)unmatched
    • Team Playerunmatched
    • Validation Testingunmatched

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