Full Stack Developer for BTP AI Team

at  SAP

WE HELP THE WORLD RUN BETTER

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!

We are looking for a Full Stack Developer with a passion for innovative cloud platform topics and the field of Generative Artificial Intelligence (GenAI).
GenAI has emerged as a transformative force in society, and has the ability of creating, mimicking, and innovating a wide range of domains. This has implications for enterprise software and ultimately SAP.
This role brings a unique opportunity to participate in shaping and delivering the future of GenAI capabilities across our Business Technology Platform (BTP) and requires a self-directed team player with deep coding knowledge and business acumen.
Join our international multi-disciplinary AI team, where you will be working closely with Architects, Data Engineers, UX designers and many others. You’ll be immersed in an environment that fosters innovation, with plentiful opportunities for personal growth and continuous learning.

Your responsibility as a Full Stack Developer is to:

• Design and build stable and scalable AI based solutions, PoCs and first versions of new products & features.
• Iterate rapidly experimenting with GenAI, developing both front and backend components.
• Contribute to development, testing, and deployment under the guidance and mentorship of experienced engineers. Participate and contribute to the design and architecture. Participate in the code reviews.
• Work alongside colleagues in a cross-functional team to develop and deliver modular, reusable components, ensuring they can be seamlessly integrated across a diverse array of cloud technology environments.
• Explore and assess new technologies in the field of generative AI, LLMs, AI-augmented development, tools, and infrastructure to evolve existing highly used functionalities and services in the cloud.