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# Generative AI Platform Engineer

- **Company:** TechniPros, LLC
- **Location:** Charlotte, NC, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Continuous Integration, DevOps, Github, Python (Programming Language), Data Logging, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Fastapi, Containerization, AI Platforms, Kubernetes, Restful APIs, Automation Anywhere, Docker
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/a109bb29-6a6b-4370-a047-edbd8701a458

## About the Role

* Python
 * Generative AI
 * LLMs
 * LangGraph
 * LangChain
 * LlamaIndex
 * MCP (Model Context Protocol)
 * Prompt Engineering
 * RAG
 * FastAPI
 * REST APIs
 * OpenAI
 * Anthropic Claude
 * Google Gemini
 * Azure AI Foundry
 * Amazon Bedrock
 * Docker
 * Kubernetes
 * GitHub Actions
 * CI/CD

Preferred Skills

 * CrewAI
 * Semantic Kernel
 * AI Guardrails
 * LangSmith
 * OpenTelemetry

## Description

We are seeking a Senior Generative AI Platform Engineer to build scalable enterprise AI platforms leveraging modern LLMs, AI orchestration frameworks, cloud-native technologies, and Model Context Protocol (MCP). The ideal candidate should have strong experience building production-grade GenAI applications and AI developer platforms., * Design enterprise-grade Generative AI platforms.

 * Build AI applications using OpenAI, Claude, Gemini, and Llama models.
 * Develop AI workflows using LangGraph, LangChain, and LlamaIndex.
 * Implement Model Context Protocol (MCP) integrations.
 * Build scalable RAG pipelines using vector databases.
 * Develop REST APIs and FastAPI services.
 * Deploy AI workloads on Azure AI Foundry or Amazon Bedrock.
 * Implement AI monitoring, logging, and observability.
 * Collaborate with platform engineering and DevOps teams.
 * Follow Responsible AI and AI Governance standards.


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