Python Full-Stack Engineer – Autonomous AI & Agent Automation

Role: Python Full-Stack Engineer – Autonomous AI & Agent Automation
Location: Alpharetta, GA (Onsite)

Inperson interview Must

Experinece: 8+ years

Skills: Python, LLM, AI, Open AI and Agent Automation

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