Senior Software Engineer - AI

Relevance Lab; Dallas (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Relevance Lab is seeking a senior engineer to design, develop, and maintain scalable .NET/C# applications and AI-powered agents using Microsoft Azure AI services. You will implement prompt and context engineering, and build RAG pipelines to enhance agent knowledge and responsiveness.

You will collaborate with product managers, data scientists, and DevOps to deliver high-impact solutions, lead code reviews, and mentor junior engineers while staying current with AI trends.

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.

Responsibilities

• Design, develop, and maintain scalable .NET/C# applications and services.
• Build and deploy intelligent agents that integrate with enterprise systems and workflows.
• Collaborate with cross-functional teams including product managers, data scientists, and DevOps to deliver high-impact solutions.

Skills

C#

.NET

AI

Azure

REST APIs

Microservices

CI/CD

Git

Agile

Problem Solving

Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Azure OpenAI

Azure AI Foundry

Semantic Kernel Framework

AutoGen

Lang Graph

Job description

Job 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.
• 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

• 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.