Senior Software Engineer - AI

Relevance Lab, Inc.
Coppell, TX, United States
8 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

.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 Memory Management
+24 more
Machine Learning Microsoft Windows SDK 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 Indexer Agentic-AI Git Build Management AI Platforms Information Technology AutoGen Virtual Agents Restful APIs Vectorization Microservices

Job description

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., * 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.

Requirements

  • 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.

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.

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