Python Developer

Job Details

• Job Category: Python
• Job Type: Hybrid
• Job Location: Alpharetta Georgia
• Compensation: Depends on Experience
• W2: W2-Contract Only;
  Kindly note that applications on a C2C basis will not be considered for this role.
• C2C: Contract - W2

We are considering candidates who are authorized to work in the United States under the following visa categories only: H4-EAD, GC Holder, GC-EAD, or U.S. Citizen (USC).

We are seeking an experienced Python Full Stack Developer with strong expertise in AI/LLM integrations, task automation, and autonomous agent development. The ideal candidate will have hands-on experience working with OpenAI APIs, enterprise-grade full stack applications, and AI-assisted development tools such as Git Hub Copilot. Experience with Model Context Protocol (MCP) and AI orchestration frameworks is highly desirable.

• Design, develop, and support Python-based full stack applications
• Integrate OpenAI / LLM APIs to build intelligent workflows and automation
• Build and manage autonomous agents and AI-driven task execution systems
• Implement AI-based task automation using Python orchestration frameworks
• Leverage Git Hub Copilot and AI-assisted development tools to improve productivity
• Work with Model Context Protocol (MCP) for AI context and orchestration
• Develop solutions within MKS environments
• Collaborate with cross-functional teams in an enterprise environment

• 12+ years of overall IT experience, with 5+ years as a Python Full Stack Developer
• Strong experience with Python frameworks:
  Django, Flask, FastAPI
• Front-end technologies:
  React, Angular, Java Script
• Hands-on experience with OpenAI / LLM APIs
• Experience building autonomous agents and AI-driven automation
• Familiarity with Git Hub Copilot
• Experience with MCP (Model Context Protocol) or similar AI orchestration concepts
• Experience working in MKS environments
• Strong knowledge of REST APIs, microservices, and databases

• Agent frameworks:
  Lang Chain, Auto Gen, CrewAI
• Cloud platforms: AWS, Azure, or Google Cloud Platform
• Docker, Kubernetes, CI/CD pipelines
• Experience working in enterprise or regulated environments