Full Time

Python Full-Stack Engineer Autonomous AI, Agent Automation, - Jobs via Dice - Alpharetta, GA

Jobs via Dice

Alpharetta, GA
Posted 14 days ago

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Headway Tek Inc, is seeking the following. Apply via Dice today!
• *Role :**

Python Full-Stack Engineer -
• *Autonomous AI, Agent Automation, LLM VectorDB, LangChan, Multiagent
• *Location :

5 days onsite at Alpharetta, GA need local candidates only
• *Interview :**

Client Interview and 2 client interviews onsite at Alpharetta including Python leetcode related queries
• *Experience needed :**

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 busines