Python Full Stack with Open AI

Role - Python Full-Stack Engineer – Autonomous AI & Agent Automation Location - Alpharetta, GA 5 days onsite Experience - between 8-15 years 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