Python Full Stack Developer Agentic AI / MCP(Inperson Interview)

Job Title: Python Full Stack Developer – Agentic AI / MCP

Location: Alpharetta, GA (Hybrid)
Client: Morgan Stanley
Environment: OpenShift (MKS), Kubernetes
Experience: 8-10 Years

Job Description

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 OpenShift (MKS) environment. The candidate will be responsible for designing, developing, and deploying scalable AI-driven applications using modern Kubernetes-based infrastructure.

Key Responsibilities

• 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 (OpenShift / MKS)

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

• Collaborate with DevOps, 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

Required Skills & Qualifications

• 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 OpenShift (MKS) environments

• Experience with RESTful APIs, JSON, and asynchronous processing

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

• Strong understanding of cloud-native architecture