NET Software Engineer - AI

Relevance Lab, Inc.

Coppell, TX, United States

9 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

1 year minimum

Working hours

Regular working hours

Job source

www.dice.com

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

+15 more

Machine Learning Microsoft Windows SDK Microsoft Software Software Engineering Enterprise Software Applications Large Language Models Prompt Engineering Indexer Git Build Management AI Platforms Information Technology Virtual Agents Restful APIs 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.