R&D: Python Full Stack Engineer- IL

Petah-Tikva, Israel

We are seeking an experienced Full Stack Developer with Python expertise to join our AI Team at Global-e. As a Full Stack Developer, you will have the exciting opportunity to work on our cutting-edge AI products and contribute to the development, testing, and maintenance of our web applications using the latest technologies.


  • Collaborate with cross-functional teams to design, develop, and deploy high-quality web applications and AI-powered solutions.
  • Take ownership of end-to-end development processes, from frontend design to backend implementation.
  • Develop robust and scalable backend systems using Python and related frameworks.
  • Implement efficient and responsive frontend components using modern JavaScript libraries and frameworks.
  • Collaborate with data scientists and machine learning engineers to integrate AI models and algorithms into web applications.
  • Optimize web applications for performance, scalability, and security.


  • Minimum of 5 years of proven experience in end-to-end web application development using Python.
  • Proficiency in Python and related frameworks such as Django or Flask.
  • Strong experience with frontend technologies such as React, Vue.js, or Angular.
  • Solid understanding of HTML, CSS, and JavaScript.
  • Familiarity with version control systems, particularly Git.
  • Experience working with relational and NoSQL databases.
  • Knowledge of AI and machine learning concepts is a plus.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities in Hebrew and English.
  • Ability to work both independently and collaboratively as part of a team.
  • Proven track record of delivering high-quality software solutions.

Preferred Qualifications:

  • Familiarity with microservices architecture.
  • Experience with deploying and maintaining AI models in production environments.
  • Knowledge of containerization technologies such as Docker.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Previous experience with natural language processing (NLP) or computer vision applications.
  • Understanding of agile software development methodologies.
  • Experience with machine learning libraries such as PyTorch or TensorFlow.
  • Understanding of deep learning concepts and neural networks.
  • Ability to integrate machine learning models into web applications.

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