Python Fullstack Developer

Purple Drive Technologies

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong proficiency in React.js, JavaScript/TypeScript, and modern front-end frameworks
  • Expertise in Python (Flask/Django/FastAPI) for backend development
  • Experience with GenAI tools and frameworks (e.g., OpenAI)
  • Familiarity with RESTful APIs, microservices, and cloud platforms (Azure/AWS)
  • Knowledge of databases (SQL/NoSQL) and version control (Git)
  • Understanding of prompt engineering and AI model integration

Responsibilities

  • Design, develop, and maintain full-stack applications using React and Python
  • Integrate GenAI models (e.g., LLMs, embeddings, prompt engineering) into web applications
  • Ensure application performance, security, and scalability
  • Write clean, maintainable, and well-documented code
  • Stay updated with emerging AI technologies and best practices

Benefits

  • Opportunity to work with cutting-edge Generative AI technologies
  • Collaborative team environment with a focus on innovation
  • Chance to influence and shape AI-driven web applications
  • Flexible work arrangements and support for work-life balance
Full Job Description
Full Stack Developer with hands-on experience in Generative AI (GenAI) technologies. Proficient in building scalable web applications using React for the front end and Python for the back end, while leveraging AI/ML models

Key Responsibilities

  • Design, develop, and maintain full-stack applications using React and Python.
  • Integrate GenAI models (e.g., LLMs, embeddings, prompt engineering) into web applications.
  • Ensure application performance, security, and scalability.
  • Write clean, maintainable, and well-documented code.
  • Stay updated with emerging AI technologies and best practices.


Required Skills

  • Strong proficiency in React.js, JavaScript/TypeScript, and modern front-end frameworks.
  • Expertise in Python (Flask/Django/FastAPI) for backend development.
  • Experience with GenAI tools and frameworks (e.g., OpenAI, ).
  • Familiarity with RESTful APIs, microservices, and cloud platforms (Azure/AWS).
  • Knowledge of databases (SQL/NoSQL) and version control (Git).
  • Understanding of prompt engineering and AI model integration.


Preferred Qualifications

  • Experience with containerization (Docker/Kubernetes).
  • Background in AI/ML concepts and model deployment.
  • Strong problem-solving and communication skills.

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