Job description Role Summary Responsible for leading the development of backend services, advanced orchestration logic, and AI-enabled workflows that power realistic, reusable, and enterprise-relevant production applications. Key Responsibilities Build complex, production-grade Python-based backend services and APIs for enterprise applications and guided flows. Design and implement advanced workflow orchestration, complex business logic, structured outputs, and integration layers. Integrate LLMs, AI services, curated data sources, SAP APIs, and external enterprise tools into cohesive architectures. Develop reusable backend modules for common deployment scenarios such as chat workflows, tool calling, evaluation hooks, and data grounding. Support realistic end-to-end production scenarios through seamless SAP and non-SAP system integration. Improve robustness, debuggability, and enterprise observability of operational workflows. Work closely with frontend and platform engineers to make AI workflows usable, secure, and repeatable across the enterprise. Skills and Experience Minimum of 5+ years of professional hands-on experience in backend engineering, core Python development, or data architectures. Strong proficiency in Python for complex backend development and multi-agent workflow orchestration. Experience building production-ready backend APIs and services using frameworks such as FastAPI or similar. Proven experience with orchestration logic, workflow engines, or AI-enabled backend flows. Mastery of LLM integration, prompt flows, structured outputs, or related AI application patterns. Extensive experience integrating SAP and non-SAP systems through APIs, OData, REST, or event-driven patterns. Solid understanding of cloud-native backend engineering, security basics, and enterprise access controls. Deep experience with Git, CI/CD pipelines, automated testing, and agile delivery practices. TypeScript or Node.js familiarity is a plus, but Python must be primary.
