Design and build enterprise-grade Agentic AI solutions for insurance workflows. Develop Model Context Protocol (MCP) integrations, AI agent orchestration, and secure backend services using .NET, Python, and Azure Platform as a Service (PaaS). Deliver scalable, reliable solutions across API integration, workflow automation, and enterprise data services.
Required Skills:
Hands-on experience implementing Agentic AI workflows with multi-step reasoning and tool-calling.
Practical experience building or integrating Model Context Protocol (MCP) servers.
Production backend development experience using .NET (C#).
Responsibilities:
Design and implement AI agents supporting multi-step workflows, tool execution, and human-in-the-loop interactions.
Build MCP-compliant tools and resources that connect AI agents to enterprise APIs, databases, and document repositories.
Develop orchestration components for session context management, request routing, and workflow execution.
Build secure backend services, integrations, and RESTful APIs using .NET and/or Python on Azure PaaS.
Implement automated testing, logging, monitoring, and observability to support production reliability.
Contribute to technical design, documentation, deployment support, and Agile sprint delivery.
26-01187
Numbers & Facts
Location
Chicago, IL (Remote)
Skills
Agile Programming Methodologiesunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Automationunmatched
Insuranceunmatched
MCP - Microsoft Certified Professionalunmatched
Microsoft .NETunmatched
Microsoft C# (C Sharp)unmatched
Microsoft Windows Azureunmatched
Platform as a Service (PaaS)unmatched
Production Supportunmatched
Python Programming/Scripting Languageunmatched
REST (Representational State Transfer)unmatched
Software Engineeringunmatched
Support Documentationunmatched
Technical Writingunmatched
Technical/Engineering Designunmatched
Test Automationunmatched
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