SAP iXp Intern - AI Engineer

About the role

The SAP iXp Intern – AI Engineer Intern (Customer Success) position is part of SAP’s global, strategic, paid internship program designed for university students. This role offers hands-on experience in applied AI within an enterprise context, contributing to real-world solutions while learning how to ship responsibly, measure impact, and collaborate across teams.

Responsibilities

• Aid in developing and validating AI use cases that enhance operational effectiveness.
• Participate in the lifecycle of AI projects from ideation and prototyping to pilot deployment under guidance.
• Support integration of AI capabilities into existing tools and services (APIs, microservices).
• Research emerging AI trends (LLMs, retrieval, evaluation) and summarize their applicability to SAP scenarios.
• Create and maintain clear technical documentation, experiment reports, and implementation guides.

Requirements

• Pursuing a Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, or related field.
• Exceptional candidates from coding academies/bootcamps, apprenticeships, associate, bachelor’s, master’s, or JD/PhD programs.
• Comfortable with Python; familiarity with JavaScript/TypeScript and basic frontend development is a plus.
• Coursework or practical experience with open-source ML/LLM frameworks (e.g., PyTorch, Hugging Face, LangChain or LlamaIndex).
• Basic understanding of data analysis, SQL, and use of notebooks; exposure to evaluation/metrics is a plus.
• Strong problem-solving skills and bias to practical application.
• Clear communication and teamwork; willingness to learn from feedback.
• Business curiosity to connect AI work to customer and process outcomes.

Qualifications

• Experience with REST APIs and simple backend services (e.g., FastAPI) and version control (Git).
• Experience with building full-stack solutions, including UX (React, common web technologies).
• Exposure to cloud platforms (SAP BTP, Azure, GCP, or AWS), containers (Docker), and CI basics.
• Familiarity with retrieval-augmented generation (RAG): embeddings, vector stores, chunking, and prompting.
• Knowledge of SAP technologies is a plus (e.g., SAP BTP AI Core/Launchpad, SAP HANA Cloud/SAP Datasphere).
• Prior involvement in student projects, hackathons, or agile teams; comfort writing unit tests and docs.
• Interest in information retrieval and evaluation (offline/online tests, A/B basics, guardrails).
• Basic understanding of secure coding and data privacy concepts.
• Full-stack familiarity (React or similar) to build lightweight internal UIs.
• Experience building small internal SDKs, templates, or scripts to improve developer productivity.
• Background in UX prototyping or user research to validate AI workflows.