AI Application Developer

Logisolve is seeking an AI Application Developer for a long-term consulting opportunity with our direct Government client. This position is 100% remote.

W2 pay rate: $70-$90.00/hr. W2 based on experience, Logisolve offers full benefits (medical, dental, LTD, STD, 401k, etc.)

The Information Technology Division (ITD) of the State Court Administrator’s Office (State), located at the Minnesota Judicial Branch (MJB), is seeking an experienced AI Application Developer with strong ASP.NET development skills and hands-on experience in Azure AI Services and Ollama. This role is for staff augmentation of the Development and Support Services team and will participate in designing and implementing AI-based solutions and enhancements to improve efficiency of court operations. The selected candidate(s) will be required to sign a confidentiality, participation, and assignment of rights agreement in a form acceptable to State.

III. Project Deliverables

• Development and testing on EP320 project (Conciliation Court Virtual

Assistant), internal operational projects, Access and Service Delivery

(ASD-3) initiatives—assignments to be determined.

• Develop and maintain ASP.NET applications integrated with Azure AI

Services and Ollama for local or hybrid LLM deployments.

• Implement intelligent agent workflows using Semantic Kernel or AutoGen

to orchestrate multi-agent conversations and reasoning.

• Design and deploy RAG pipelines using vector stores, semantic search,

and enterprise data connectors.

• Integrate vector databases and semantic search for dynamic content

retrieval and contextual AI responses.

• Work with MCP (Model Context Protocol) to enable interoperability

between agents and services.

• Develop APIs and services that connect enterprise systems to AI models

both on Azure and Ollama-hosted environments.

• Optimize model performance, latency, and cost efficiency across on-

premises and cloud AI solutions.

• Collaborate with cross-functional teams (AI engineers, data scientists,

DevOps) to deliver production-ready AI features.

• Engage in regular communication, at least weekly, concerning work

performance and provide documentation regarding the work performed.

Successful performance will be determined by regular communication of

work progress to technical lead and DSS Development Supervisor.

IV. Project Milestones and Schedule

The project milestones and scheduled completion dates will be based upon:

Weekly updates are expected with work progress. Duties are expected to be

assigned and executed in 3-week sprints. Sprints may cross months and specific

user stories will define which features are assigned for each sprint. Milestones and scheduled completion dates will be determined on a project-by-project basis.

VII. Qualifications and Skills

.Net Development/C# Development

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

Resume must clearly demonstrate the following:

Required Qualifications

• Bachelor’s 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.

Preferred Qualifications

• 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.