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Zodiac Solutions, Inc

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Python Full-stack Developer

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Summary

A full-stack developer role building and maintaining web applications with Python (Django/Flask/FastAPI) on the backend and React on the frontend, with a strong focus on integrating AI/LLM features such as chatbots, AI agents, and recommendation systems. Also involves database design (PostgreSQL/SQL Server), API development, and cloud deployment support.

  • Design, develop, test, and maintain full-stack web applications using Python and React.
  • Build robust backend services, APIs, and business logic using frameworks such as Django, Flask, or FastAPI.
  • Integrate AI/ML capabilities into applications, including APIs, LLM-based features, chatbots, recommendation systems, or intelligent workflows.
  • Collaborate with product managers, designers, data scientists, and other engineers to translate business requirements into technical solutions.
  • Design and optimize relational and/or NoSQL databases for performance and scalability.
  • Implement secure, reusable, and maintainable code following best practices and coding standards.
  • Build and consume RESTful APIs and third-party integrations.
  • Participate in architecture discussions, code reviews, debugging, and performance optimization.
  • Support deployment, monitoring, and troubleshooting of applications in cloud or production environments.
  • Stay current with emerging technologies in full-stack development and applied AI.

Requirements:

  • Bachelor’s degree in computer science or Diploma in IT with equivalent experience.
  • Advance proficiency in Python and Django Framework
  • Extensive experience with Large Language Models (LLMs)
  • Proven experience in AI agent development and implementation
  • Advance proficiency in React ecosystem
  • Advanced proficiency with Postgres SQL
  • Extensive experience with SQL server & database design
  • Strong knowledge of front-end technologies such as React
  • Experience with agent frameworks and orchestration platforms
  • Knowledge of prompt engineering and LLM optimization techniques
  • Understanding of AI agent architectures and design patterns
  • Knowledge of design patterns & best practices in software development
  • Experience with version control system such as Git
  • Strong knowledge of working with API’s.
  • Familiarity with DevOps practices and CI/CD pipelines

Skills

See also

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