SAP ABAP Consultant – Generative AI SDK (ID: 3112)

Job Description As an ABAP Consultant – Generative AI SDK, you will: Collaborate closely with product and development teams to design, implement, and enhance components of the ABAP Generative AI SDK. Build and optimize integration capabilities for Generative AI frameworks and orchestration services within the ABAP environment. Contribute to innovative solutions such as AI Agent Frameworks and SAP BTP GenAI Hub's Orchestration Services. Drive the development of new tools and frameworks that expand the capabilities of ABAP in the context of AI integration. Ensure high-quality code through test-driven development and adherence to best practices. What You Bring to the Table: 5+ years of experience in advanced ABAP development, including strong debugging and troubleshooting skills. Proven experience in developing or contributing to SAP tooling and frameworks. Commitment to product quality, including familiarity with test-driven development methodologies. Strong communication skills and the ability to explain complex technical concepts clearly. Passion for solving problems creatively and collaboratively. Willingness to work remotely within the EU, with a preference for availability in Germany. You Should Possess the Ability To: Design and build ABAP components that enable integration with AI frameworks and services. Work independently and collaboratively across cross-functional teams. Translate abstract ideas into well-structured technical implementations. Stay updated with emerging AI/ML technologies and apply them innovatively in SAP contexts. Deliver quality solutions under tight timelines within an Agile setup. What We Bring to the Table: A unique opportunity to work at the intersection of traditional SAP development and emerging AI technologies. Remote work flexibility across EU locations, with a focus on innovation and impact. Access to cutting-edge tools and platforms within SAP BTP and Generative AI ecosystems. A collaborative environment that encourages learning, experimentation, and continuous improvement.