Python Full Stack Developer Agentic AI​/MCP; Inperson w2

Job Title:

Python Full Stack Developer — Agentic AI / MCP

Location: Alpharetta, GA (Hybrid)

Client: Morgan Stanley

Environment: Open Shift (MKS), Kubernetes

Experience: 8-10 Years

Morgan Stanley is seeking a highly skilled Python Full Stack Developer with strong experience in Agentic AI systems ,
Model Context Protocol (MCP) , and cloud-native deployments within an Open Shift (MKS) environment. The candidate will be responsible for designing, developing, and deploying scalable AI-driven applications using modern Kubernetes-based infrastructure.

• Design, develop, and maintain full-stack applications using Python and modern frontend frameworks

• Build and integrate Agentic AI workflows
  , including orchestration of AI agents and tool usage

• Implement and manage Model Context Protocol (MCP) integrations for AI systems

• Develop microservices deployed on Kubernetes (Open Shift / MKS)

• Use Kubernetes client APIs to manage deployments, scaling, and service communication

• Collaborate with Dev Ops, AI/ML, and platform engineering teams

• Ensure application performance, security, and reliability in a regulated financial environment

• Participate in architecture reviews, code reviews, and CI/CD processes

• Troubleshoot and resolve production issues in distributed systems

• Strong proficiency in Python (backend development, APIs, microservices)

• Experience with
  Full Stack Development (React, Angular, or similar frontend frameworks preferred)

• Hands-on experience with Agentic AI frameworks and AI orchestration patterns

• Working knowledge of Model Context Protocol (MCP)

• Solid experience with Kubernetes and Kubernetes Python client

• Hands-on experience with Open Shift (MKS) environments

• Experience with RESTful APIs, JSON, and asynchronous processing

• Familiarity with CI/CD pipelines and containerization (Docker)

• Strong understanding of cloud-native architecture