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Sr. NET Software Engineer - AI -(Hybrid Role local to DALLAS TX )

Relevance Lab Inc.Coppell, TX🇺🇸United StatesPosted 28 Aug 2026

Why This Role Stands Out

This Senior .NET Software Engineer role offers a unique opportunity to pioneer AI-driven solutions within a dynamic tech environment, perfect for those eager to blend robust .NET development with cutting-edge AI technologies like prompt engineering and RAG. If you're a seasoned engineer passionate about building intelligent systems and driving innovation, you'll thrive in this collaborative, growth-oriented position.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Coppell, TX, United States
Posted
20 hours ago
MicroservicesMachine LearningAgileAzureC#.NETGitLLM

Job Description

Job Title: Senior Software Engineer - AI

Duration: 6 months Contract-to-hire

Location: Onsite Coppell, TX

We are seeking a highly skilled and forward-thinking Senior Software Engineer with over 9 years of experience in designing and developing enterprise-grade solutions using .NET and C#, and at least 1 year of hands-on experience building AI solutions and intelligent agents on the Microsoft platform. The ideal candidate will be passionate about leveraging Prompt Engineering, Context Engineering, RAG, Vectorization & Indexing, and modern AI techniques to drive innovation and efficiency across our technology stack.

Key Responsibilities

  • Design, develop, and maintain scalable .NET/C# applications and services.
  • Design and implement AI-powered solutions using Microsoft Azure AI services, including Azure OpenAI, Azure AI Foundry, Cognitive Services and Microsoft Agent Framework.
  • Build and deploy intelligent agents that integrate with enterprise systems and workflows.
  • Apply prompt engineering and context engineering to optimize agent behavior and model outputs.
  • Integrate retrieval-augmented generation (RAG) pipelines to enhance agent knowledge and responsiveness.
  • Leverage tool use orchestration and action planning to enable agents to interact with external systems and APIs.
  • Implement memory management strategies for agents (episodic, semantic, and working memory).
  • Use state management, goal tracking, and feedback loops to support autonomous decision-making.
  • Evaluate and verify AI agents using various techniques and tools.
  • Collaborate with cross-functional teams including product managers, data scientists, and DevOps to deliver high-impact solutions.
  • Conduct code reviews, mentor junior engineers, and contribute to best practices in software development and AI integration.
  • Stay current with emerging technologies and trends in AI, machine learning, and software engineering.

Required Qualifications

  • Bachelor s or Master s degree in Computer Science, Engineering, or related field.
  • 9+ years of experience in software development using .NET and C#.
  • 1+ years of experience developing AI solutions and agents using Microsoft technologies.
  • Strong understanding of prompt engineering, context engineering, and LLM-based architectures.
  • Experience with RESTful APIs, microservices, and cloud-native development.
  • Familiarity with CI/CD pipelines, Git, and agile methodologies.
  • Excellent problem-solving, communication, and collaboration skills.

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