Python Full Stack Developer – Agentic AI (MCP)/ ML-------- Alpharetta, GA (In-person Interview)Only on w2 no C2C any visa is fine--(Slots available on Tuesday & Wednesday)

Hybrid in Alpharetta, GA, US • Posted 11 hours ago • Updated 10 hours ago
Contract W2
Contract Independent
No Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • pythonn developer
  • Artificial Intelligence
  • Machine Learning (ML)

Summary

Python Full Stack Developer – Agentic AI (MCP)/ ML

Location: Alpharetta, GA (In-person Interview)

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: 8920374
  • Posted 11 hours ago
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