Join us as a Custom Software Engineer, focusing on building AI-native, cloud-ready SAP solutions. This role blends deep ABAP and SAP platform expertise with advanced AI architectures, LLM tooling, and rapid experimentation. You will design, implement, and scale intelligent SAP applications, integrating ABAP Cloud with cutting-edge AI technologies. The emphasis is on creating systems that move beyond automation towards autonomy, actively building AI systems rather than just using AI tools.

Our work focuses on delivering intelligent SAP applications that can reason, retrieve, and act, significantly accelerating innovation cycles. We build scalable, secure AI-powered SAP extensions adhering to clean core principles, laying the foundation for autonomous, AI-driven enterprise workflows.

Design and build ABAP Cloud applications embedding LLM-driven intelligence into SAP business processes, utilizing the RESTful ABAP Programming Model (RAP), event-driven patterns, and cloud-native architectures. Implement agentic workflows, integrating tools, planners, memory, and orchestration loops with SAP processes. Develop clean, testable ABAP code for seamless integration with AI services and enterprise APIs.

Build and integrate retrieval pipelines using SAP and non-SAP data sources, implementing chunking, indexing, and embedding strategies for production-grade RAG scenarios. Ensure factuality, traceability, and explainability in AI-driven SAP workflows. Implement evaluation frameworks and design guardrails for authorization, data privacy, and error handling, while building observability into AI-enabled applications.

A minimum of 2 to 5 years of experience is required, with a mandatory 3 years in SAP ABAP Cloud. Essential skills include a strong command of SAP ABAP Cloud technologies such as RAP, CDS, OData, and clean core principles. Hands-on experience integrating LLMs and AI services into applications, along with building RAG pipelines, embeddings, and contextual retrieval capabilities, is crucial. Solid software engineering fundamentals, including design, testing, and CI/CD practices, are expected. The ability to translate complex business problems into effective AI-enabled SAP solutions is paramount.