SAP BTP Fabric helps our customers and internal developers to create platform services including platform services for Agents. BTP Fabric is growing immensely by provisioning base platform for services within SAP as well for Agents. BTP Fabric is evolving into a Machine Learning powerhouse, utilizing the power of AI to build platform, for current day services; as well as building the next-generation platform for Agentic solutions. As an AI / Machine Learning Engr. on SAP BTP Fabric team, you can accelerate the innovation, design, and delivery of the next generation of platform experiences with Machine Learning and Generative AI. Applications running on the Network provide critical business processes involving thousands of buying organizations, millions of sellers across the globe, and several millions of users. Duties and Responsibilities: Duties and responsibilities of an AI / Machine Learning Engineer within SAP BTP Fabric will include work at the bleeding edge of generative AI, Agentic AI, and Semantic Vector Search including working with open-source as well as third-party generative models. In-addition, Machine Learning Engrs. within SAP BTP Fabric will work with conventional, open-source, reasoning as well as basic LLMs for adapted use for POC business use cases through fine-tunning, distillation and/or quantization to enable serving customers at scale. Responsibilities will also involve out-of-box utilization of SOTA LLMs to enable Platform capabilities that can be adopted by several LOBs including: 37Design and implement innovations in the Semantic Vector Search space37Develop, test, deploy GPU enabled microservices that provide BIC metrics and support measurable improvement in Business KPIs37Work in and develop core agentic platform components for BTP37Master framework design and modeling in a largescale, multi-tenant, on-demand environment37Proactively detect and solve scalability and performance issues37Work across teams and functions to build best-in-class solutions for various stakeholders37 Minimum Qualifications: 37Master's degree in Computer Science, Data Science, Machine Learning, with equivalent work experience.375+ years experience developing production-grade, scalable, multi-threaded python API, Agentic and web applications37Advanced compute acceleration expertise with GPU acceleration, vector programming.37Advanced knowledge of Nvidia or AMD GPU architecture and acceleration capabilities and provisioning across cloud enterprises.37Working knowledge of cloud-native architecture and cloud deployment frameworks, including microservices, containerization, Jenkins deployment pipeline, Docker files, Github actions & K8s.37Capable of application performance analysis, tuning as well as latency enhancements with vector programming.37Knowledgeable in application security best practices, networking, and data communication37Proficient in Python, RUST, Linux, HTML, and REST APIs with either Flask, FAST APIs etc.37Proficiency in building production-grade Machine Learning, Artificial Intelligent products as well as deep knowledge on using Agents.37Proficiency with Databricks, github fundamentals.37An understanding of the basics of Encoder and Decoder models including Generative LLM models.37Cybersecurity fundamentals including foundational knowledge of Data Protection and Privacy.37 Preferred Qualifications: 37Experience working with and deploying and utilizing LLM models in production.37Experience with Claude code, Cline, Github copilot as developer accelerators etc.37Experience with cloud platforms such as GCP, AWS, and Azure.37Experience with MLOPs, LLMOPs and/or genAIOPs37 Requisition ID: 454105 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid Requisition ID: 454105 Posted Date: Jun 8, 2026 Work Area: Software-Design and Development Career Status: Professional Employment Type: Regular Full Time Expected Travel: 0 - 10% Location: