AI / Agentic Engineer – MCP, .NET/Python & Azure PaaS
- Source: LinkedIn
- The Brixton Group
- Remote
- Chicago
- Mid level
Job Description
Duration: 6+ months
Location: 100% REMOTE
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.
Requirements:
- 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
Skills
- dot-net
- Python
- microsoft-azure
- c-sharp
