Software Engineer for Generative AI Solutions

vor 4 Wochen


Munich, Bayern, Deutschland ZEISS Vollzeit

About the Opportunity
Join our team as a Software Engineer focusing on Generative AI solutions within the ZDP Digital Technology Accelerator unit. In this role, you will play a crucial part in advancing high-priority digital technologies such as Generative AI, ensuring their effectiveness across the ZEISS group.

Your Responsibilities

  • Design and develop scalable web applications primarily using Python and React, which includes building back-end infrastructure, implementing server-side logic, integrating databases, developing APIs, and creating user-friendly interfaces.
  • Collaborate with data scientists and AI researchers to seamlessly integrate Generative AI models and algorithms into web-based products.
  • Architect and implement RESTful APIs and microservices to enhance application functionality.
  • Refine and optimize existing code to boost performance and reliability.
  • Maintain application stability, scalability, and security through rigorous testing, troubleshooting, and implementing security protocols to safeguard user data.
  • Utilize Azure cloud services for deploying, managing, and scaling applications effectively.
  • Engage in code reviews, testing, and debugging processes to uphold high coding standards.
  • Stay informed about the latest industry trends and technologies to integrate best practices into development workflows.

Your Profile

  • A university degree in computer science, natural sciences, or engineering, coupled with a strong enthusiasm for data engineering and digital products.
  • Several years of experience in developing production-grade software.
  • Demonstrated expertise in Python and associated frameworks (e.g., Django, Flask) or a similar technology stack.
  • Extensive experience with React or comparable JavaScript-based front-end libraries.
  • Solid understanding of front-end technologies, including HTML5, CSS3, and JavaScript.
  • Experience with RESTful APIs and microservices architecture.
  • Proficiency in working with Docker or other containerization technologies.
  • Familiarity with Azure cloud services is advantageous (e.g., Azure App Service, Azure Storage).
  • Experience with version control systems (e.g., Git) and CI/CD pipelines.
  • A passion for exploring new digital technologies and advancing Generative AI platforms and products.
  • Strong analytical skills and attention to detail.
  • Open-minded and adaptable, with a proven ability to collaborate with interdisciplinary and international teams.
  • Fluent in English; advanced German language skills are a plus.


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