Role: Python Full-Stack Engineer Autonomous AI & Agent Automation
Location- First preference is Alpharetta GA or 2nd Preference is New York; Need local candidates they need to go for onsite interview mandatory next week before Thursday.
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