Python Full-Stack Engineer
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Job Description
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
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