Designing and developing AI Agents and enterprise automation workflows to address business use cases.
Building and integrating MCP (Model Context Protocol) servers| tools| and connectors to enable secure access to enterprise applications| APIs| databases| and external systems.
Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration| tool calling| and Retrieval-Augmented Generation (RAG) implementations.
Creating and supporting Python-based microservices and APIs that integrate AI capabilities with enterprise platforms.
SKILLS MUST HAVE: Designing and developing AI Agents and enterprise automation workflows to address business use cases.
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Numbers & Facts
Location
Denver, CO
Skills
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Automationunmatched
Business Caseunmatched
Enterprise Applicationsunmatched
Lynxunmatched
MCP - Microsoft Certified Professionalunmatched
Microservicesunmatched
Python Programming/Scripting Languageunmatched
Use Casesunmatched
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