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.

Responsibilities:

• 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.
  
  

Requirements:

• 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.