Python Full-Stack Engineer – Autonomous AI

Role: Python Full-Stack Engineer – Autonomous AI & Agent Automation Location: Alpharetta, GA (5 days onsite) Duration: Contract Job Description: - 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