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# Software Engineer - AI

- **Company:** Relevance Lab
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Application Integration Architecture, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Code Review, Continuous Integration, DevOps, Machine Learning, Microsoft Software, Open Source Technology, OpenAI, Software Engineering, Microsoft Agent Framework, Design of Telemetry/logging Agents, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Git, Build Management, AI Platforms, Information Technology, AutoGen, Restful APIs, Microservices
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/16_d1025cf9

## About the Role

* Bachelors or Masters 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.

Preferred Qualifications

 * Experience with Azure OpenAI, Azure AI Foundry, Semantic Kernal Framework, AutoGen, Lang Graph, Machine Learning, or other Microsoft AI platforms.
 * Knowledge of NLP, generative AI, and conversational agent design.
 * Certifications in Microsoft Azure or AI-related technologies.
 * Contributions to open-source projects or technical blogs.

## Description

* 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.
 * Applyprompt engineeringandcontext engineeringto optimize agent behavior and model outputs.
 * Integrateretrieval-augmented generation (RAG)pipelines to enhance agent knowledge and responsiveness.
 * Leveragetool use orchestrationandaction planningto enable agents to interact with external systems and APIs.
 * Implementmemory managementstrategies for agents (episodic, semantic, and working memory).
 * Usestate management,goal tracking, andfeedback loopsto 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.