Sr Python Fullstack with Open AI (Face toface Must)
Not Disclosed
Location: Alpharetta, GA
Job Type: Full-time
Salary: Competitive
Duration: Long term
Experience: 8+ years Python, 2+ years OpenAI/LLM
Job Description & Details
"The AI automation wave is reshaping how enterprises streamline operations, and expertise in Python\u2011driven full\u2011stack solutions is now a premium skill. Companies are racing to embed OpenAI models and autonomous agents directly into their products, creating a surge in demand for engineers who can bridge backend intelligence with sleek user experiences. This Sr Python Fullstack role offers a rare chance to lead that transformation on\u2011site in Alpharetta.\n\n# Job Summary\nWe are seeking a senior Python Full\u2011Stack Engineer who will architect, build, and deploy AI\u2011powered applications. The role focuses on integrating OpenAI/LLM models, creating autonomous agents, and delivering responsive front\u2011end interfaces (React/Angular) within MCP and MKS environments. You will collaborate cross\u2011functionally to turn business workflows into intelligent, automated solutions.\n\n# Top 3 Critical Skills Table\n| Skill | Why it's critical | Mastery Level |\n|-------|-------------------|---------------|\n| Python (backend) | Core language for AI logic, APIs, and microservices | Senior |\n| OpenAI / LLM integration | Drives autonomous agents, reasoning, and content generation | Senior |\n| Autonomous Agent Design | Enables end\u2011to\u2011end AI\u2011driven workflow automation | Senior |\n\n# Interview Preparation\n1. **Design an API that streams responses from an OpenAI model while handling rate limits and timeouts.**\n - *What the interviewer is looking for:* Knowledge of async programming, streaming protocols, error handling, and OpenAI token/rate\u2011limit management.\n2. **Explain how you would orchestrate multiple autonomous agents to complete a multi\u2011step business process.**\n - *What the interviewer is looking for:* Understanding of agent memory, tool usage, prompt engineering, and task chaining.\n3. **Describe your experience with MCP and MKS environments and how you manage configuration drift.**\n - *What the interviewer is looking for:* Hands\u2011on experience with environment isolation, pipeline configuration, and version control.\n4. **Walk through a full\u2011stack project where you integrated a React front\u2011end with a Python microservice that calls an LLM.**\n - *What the interviewer is looking for:* End\u2011to\u2011end architecture insight, REST/async communication, and UI/UX considerations for AI assistance.\n5. **How do you ensure security, logging, and observability for AI\u2011driven workflows?**\n - *What the interviewer is looking for:* Awareness of data privacy, audit trails, monitoring tools, and compliance best practices.\n\n# Resume Optimization\n- Python\n- Full\u2011Stack Development\n- OpenAI\n- Large Language Models (LLM)\n- Autonomous Agents\n- MCP\n- MKS\n- React\n- REST APIs\n- Microservices\n\n# Application Strategy\nWhen reaching out to the recruiter, send a concise email that greets them, briefly states your interest, and attaches your resume. Explicitly highlight your top skills\u2014such as Python backend development, OpenAI/LLM integration, and autonomous agent design\u2014and reference any relevant projects where you built AI\u2011driven automation. Make sure to map each of these skills to the key responsibilities listed in the job description.\n\n# Career Roadmap\n| Current Role | Typical Experience | Core Focus | Next Position |\n|--------------|--------------------|------------|---------------|\n| Sr Python Full\u2011Stack Engineer (AI) | 8+ yrs Python, 2+ yrs OpenAI/LLM, MCP/MKS | AI\u2011enabled automation, full\u2011stack delivery | Lead AI Engineer |\n| Lead AI Engineer | 10+ yrs AI systems, team leadership | Strategy, large\u2011scale AI platforms | Director of AI Engineering |\n"