Python Full-Stack Engineer

• *Role: Python Full-Stack Engineer – Autonomous AI & Agent Automation,
• *Location- Onsite interview in Alpharetta, GA, 5 days onsite
• *Note- Please don’t share any candidate who are already interviewed at Morgan Stanley in last 3-4 months**

Role Summary

We are looking for a highly skilled Python Full-Stack Engineer with hands-on experience in OpenAI-based solutions, Co-Pilot frameworks, MCP, MKS environments, and autonomous agent creation. This role will focus on building AI-driven task automation, intelligent agents, and end-to-end full-stack solutions that accelerate business workflows and reduce manual effort.

The ideal candidate combines strong Python engineering fundamentals with applied AI/LLM orchestration, system integration, and scalable automation design.

Key Responsibilities

• Design, develop, and deploy Python-based full-stack applications with AI-enabled capabilities
• Build and orchestrate autonomous AI agents for task execution, decisioning, and workflow automation
• Integrate OpenAI models for reasoning, summarization, classification, and agent coordination
• Implement Co-Pilot-style experiences to assist users with intelligent recommendations and actions
• Develop task automation pipelines leveraging agents, schedulers, and event-driven triggers
• Work within MCP and MKS environments to manage configurations, pipelines, and system controls
• Design APIs and backend services to integrate AI agents with enterprise systems
• Build scalable front-end interfaces (React or similar) for AI-driven user interactions
• Ensure security, governance, logging, and observability for AI-powered workflows
• Collaborate with product, architecture, and business teams to translate requirements into AI solutions
• Support testing, deployment, optimization, and continuous improvement of agent-based systems

Required Skills & Experience

Core Engineering

• 6+ years of hands-on Python development experience
• Strong experience in full-stack development (Python backend + modern frontend frameworks)
• Expertise in REST APIs, async processing, background workers, and microservices

AI & Autonomous Agents

• Practical experience with OpenAI / LLM-based applications
• Experience building autonomous or semi-autonomous agents (planning, memory, tool usage)
• Familiarity with agent orchestration, prompt engineering, and task chaining
• Experience creating AI-driven automation for business workflows

Platforms & Environments

• Experience working in MCP and MKS environments
• Strong understanding of configuration management, environments, and pipelines
• Experience with task schedulers, job orchestration, and automation frameworks

Frontend & UX

• Experience with React, Angular, or similar frontend frameworks
• Ability to design intuitive AI-assisted user experiences