SAP iXp Intern - Full-Stack AI Developer

SAP
Stanford, California, United StatesPosted Aug 11, 2026
Software Engineering

About the role

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What You’ll Build

The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. This is more than an internship, it’s the foundation for a career built on connection, creativity, and impact.

Position title: SAP iXp Intern - Full-Stack AI Developer Location: Palo Alto (Hybrid) Expected start date: October 2026 Duration: 6 - 12 months Schedule: 20 - 40/HR per week

Assist in designing, developing, and implementing Generative AI applications within the SAP ecosystem, including front-end, back-end, AI model, and enterprise data integration Develop Generative AI use cases such as intelligent agents, enterprise search, summarization, content generation, and workflow automation Build retrieval-augmented generation (RAG) solutions using embeddings, semantic search, and SAP HANA Cloud vector capabilities Use SAP Business Technology Platform (BTP), SAP AI Core, and the generative AI hub to integrate and manage foundation models Design and optimize prompts, structured outputs, and model orchestration workflows for enterprise business scenarios Implement back-end services using Python, Node.js, or Java and integrate large language models with SAP and third-party APIs Develop responsive, user-friendly interfaces for AI-powered applications using SAP Fiori, SAPUI5, or modern front-end frameworks Evaluate Generative AI solutions for accuracy, relevance, reli

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