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