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Job Type   /   Job Level
Contract   /   Others/Any
Job Location
Charlotte, NC
Salary Range
$ 60 - 65 (Hourly)
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Role Overview
We are looking for a Full Stack Python Developer with strong hands-on experience in backend development and modern frontend frameworks. This role focuses on building scalable applications, integrating AI/LLM capabilities, and working with real-time data systems. The ideal candidate should be comfortable working across the stack and contributing to both development and system integration.

Key Responsibilities

  • Develop and maintain full-stack applications using Python (FastAPI/Flask) and React or Angular

  • Build and consume RESTful APIs and microservices

  • Integrate AI/LLM-based solutions using frameworks like LangChain or LangGraph

  • Work with Kafka for real-time data streaming and event-driven systems

  • Design and manage data storage using SQL Server and Redis

  • Collaborate with cross-functional teams to deliver scalable and efficient solutions

  • Participate in debugging, performance tuning, and code optimization

  • Contribute to CI/CD pipelines using GitHub Actions or Azure DevOps

  • Deploy and manage applications in Docker and Kubernetes environments



Required Qualifications

  • 4-8 years of experience in Python full stack development

  • Strong experience with FastAPI and/or Flask

  • Proficiency in React or Angular, along with CSS, and JavaScript/TypeScript

  • Hands-on experience with SQL Server and Redis

  • Basic to intermediate experience with Kafka

  • Understanding of REST APIs and microservices architecture

  • Exposure to CI/CD tools (GitHub Actions or Azure DevOps)

  • Working knowledge of Docker and Kubernetes

  • Strong problem-solving and analytical skills



Preferred Qualifications

  • Exposure to LangChain, LangGraph, or similar AI frameworks

  • Basic understanding of LLMs, RAG, or agent-based systems

  • Experience with cloud platforms (AWS, Azure, or GCP)

  • Familiarity with distributed systems and scalable architectures



Nice to Have

  • Exposure to vector databases or AI pipelines

  • Experience with event-driven architectures

  • Basic understanding of Machince Learning workflows



Key Skills Summary

  • Backend: Python, FastAPI, Flask

  • Frontend: React / Angular

  • Data: SQL Server, Redis

  • Streaming: Kafka

  • AI: LangChain, LangGraph

  • DevOps: GitHub Actions / Azure DevOps, Docker, Kubernetes
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