| .Net Development/C# Developer – Sr. Paul, MN |
About us | Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II. Join us in driving growth and seizing new business opportunities. |
Role and Responsibilities | - The ideal candidate will have a solid understanding of Semantic Kernel, AutoGen, and modern AI design patterns such as Retrieval-Augmented Generation (RAG), vector search, semantic search, MCP (Model Context Protocol), and Agent AI.
- You will design, build, and deploy AI-powered web applications that combine cloud-hosted and local LLM inference capabilities for scalable, secure, and context-aware user experiences
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Minimum Qualification | - Bachelors degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).
- 3 years of experience developing applications
- with ASP.NET Core or ASP.NET MVC.
- Proven experience integrating with Azure AI Services (e.g., Azure OpenAI, Cognitive Search, Cognitive Services).
- Experience running and integrating Ollama models for local inference or hybrid AI architectures.
- Hands-on experience using Semantic Kernel or AutoGen frameworks for AI agent orchestration.
- Strong understanding of RAG, vector search, semantic search, and Agent AI principles.
- Familiarity with Azure Blob Storage, Azure Functions, and Azure DevOps CI/CD pipelines.
- Proficiency in C#, RESTful APIs, and asynchronous programming.
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Preferred Qualification | - Experience developing AI copilots, multi-agent systems, or LLM-powered chat interfaces.
- Knowledge of embedding generation, vector indexing, and hybrid
- retrieval strategies.
- Familiarity with MCP Server or other inter-agent communication protocols.
- Exposure to LangChain, ML.NET , or OpenAI function calling.
- Experience deploying models using both cloud-based APIs and on-device inference (Ollama, local LLMs).
- Strong analytical, debugging, and problem-solving skills.
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