We are seeking a forward-thinking Full-Stack Developer to bridge the gap between robust SAP S/4 HANA stability and the next generation of AI-driven enterprise applications.You will be responsible for building high-performance, Clean Core compliant extensions using SAP Business Technology Platform (BTP) and crafting intuitive front-end experiences with UI5, Angular.In this role, you won't just write code; you will actively integrate SAP AI Core and generative AI tools to accelerate delivery, automate complex business processes, and bring intelligent insights to the heart of the enterprise.What You'll DoDevelop scalable, AI-driven applications on SAP BTP, leveraging SAP AI Core and AI Foundation services. You won't just build apps; you'll architect systems that integrate Generative AI into core business processes (like Lead-to-Cash or Source-to-Pay).Maximize productivity by using AI coding assistants (Git Hub Copilot, Cursor) and SAP-specific LLMs to write, refactor, and document CAP (Cloud Application Programming Model) or RAP code. You are expected to stay at the forefront of prompt engineering for automated code generation.Design and manage data pipelines that bridge the gap between structured SAP data and unstructured insights. This includes integrating RESTful APIs and managing high-performance databases, specifically utilizing SAP HANA Cloud's vector engine for RAG (Retrieval-Augmented Generation) architectures.Maintain a rigorous Git workflow to ensure stability in complex SAP landscapes. You will follow Gitflow strategies to manage clean commits and painless merges, ensuring that AI model configurations and application logic are versioned with enterprise-level precision.Develop modular, reusable components in Angular (or SAP UI5) that integrate seamlessly with AI features. Your goal is to create "Agentic" user interfaces—UIs that don't just display data but provide AI-powered recommendations and natural language interactions.Use Docker to containerize AI models and microservices, ensuring consistent execution environments. You will deploy and manage these workloads via SAP AI Core, ensuring your models are production-ready, resource-efficient, and compliant with SAP's "Clean Core" llaborate: Participate in code reviews (giving and receiving) and agile ntinuous Learning: Stay ahead of the curve by testing and adopting new AI dev-tools that improve the team's workflow.The Core StackCAP (Cloud Application Programming Model): Strong foundation in Node.js or Java. Experience with the CAP framework is a must for building enterprise-grade services that integrate seamlessly with SAP HANA.Git & CI/CD: You know the difference between a rebase and a merge, and you're comfortable managing code versioning within SAP Continuous Integration and Delivery or Azure Dev Ops.BTP & Containers: You can navigate the SAP BTP Cockpit, deploy MTAs (Multi-Target Applications), and understand why "Cloud Foundry" and "Kyma" (Kubernetes) are the backbone of modern SAP extensibility.The AI & Tooling EdgeAI Orchestration: Experience using AI tools for boilerplate generation, unit test creation, and complex debugging.Prompt Engineering: The ability to craft precise instructions for LLMs to get high-quality, secure code outputs.Critical Evaluation: You don't just "Copy-Paste" AI suggestions; you have the technical depth to audit AI code for security vulnerabilities and performance bottlenecks. HITL (Human in the Loop)The Nice-to-HavesExperience integrating Open AI/Anthropic/Gemini APIs into web applications.Familiarity with vector databases (like pgvector or Pinecone) or Lang Chain.Familiarity with Cloud platforms (AWS, Azure, or GCP).A "testing" mindset—experience with JUnit, or Jasmine/Karma or equivalent.Who You ArePragmatic: You know when to write code from scratch and when to let an AI assistant do the heavy lifting.Curious: You don't wait for a training manual; you're already experimenting with the latest LLM models and plugins.We value diversity and therefore welcome all applicants — regardless of gender, nationality, ethnic or social origin, religion/belief, disability, age, sexual orientation and identity, and any other protected status.