Python Full Stack Developer – Agentic AI (MCP)-ONLY ON W2 NO C2C ANY VISA FINE EXCEPT OPT AND CPT VISA CANDIDATES

Hybrid in Alpharetta, GA, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Contract Independent
No Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Artificial Intelligence
  • MKS
  • Microsoft Certified Professional

Summary

Python Full Stack Developer – Agentic AI (MCP)

Location: Alpharetta, GA

Work Model: Hybrid

Environment: MKS (OpenShift), Kubernetes

Duration: Long-term (contract)

Job Summary

We are looking for a Python Full Stack Developer with strong experience in Agentic AI, Model Context Protocol (MCP), and cloud-native platforms. The candidate will build, deploy, and scale intelligent AI-driven applications running in OpenShift (MKS) and Kubernetes environments, integrating with enterprise systems and data platforms.

Key Responsibilities

Design and develop full stack applications using Python and modern frontend frameworks

Build and orchestrate Agentic AI systems (autonomous agents, planners, tool-using agents)

Implement and integrate MCP (Model Context Protocol) for agent-to-system and agent-to-agent communication

Develop backend services, APIs, and AI workflows using Python (FastAPI / Flask / Django)

Deploy and manage applications in Kubernetes and OpenShift (MKS) environments

Containerize applications using Docker and manage deployments via CI/CD pipelines

Integrate AI agents with enterprise data sources, APIs, and services

Collaborate with platform, DevOps, and data teams to ensure scalability, security, and reliability

Monitor, optimize, and troubleshoot applications in production environments

Required Skills & Qualifications

8+ years of experience in software development

Strong hands-on experience with Python

Full stack development experience (backend + frontend)

Experience building Agentic AI / GenAI systems

Hands-on experience with MCP (Model Context Protocol)

Experience with Kubernetes and OpenShift (MKS)

REST API development and microservices architecture

Containerization using Docker

Experience with CI/CD pipelines

Familiarity with cloud-native application design

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91081937
  • Position Id: 8913288
  • Posted 1 day ago
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