We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

Meet your team

Corporate Processes & IT (CPIT) is the internal IT organization for SAP. Our purpose is to CREATE, BUILD, and RUN an intelligent enterprise by providing customer-centric insights and technologies.

As a Generative AI Engineer Intern at Generative AI Center of Excellence (GenAI CoE), you'll join our expansive Data Science, Artificial Intelligence, and Big Data (DAB) division within the Technology Services department. Collaborate with a global team of AI engineers, scientists, and product managers based in Germany, France, and Singapore. This role presents an unparalleled opportunity to thrive in a stimulating, innovative, and continuous learning atmosphere, while playing a pivotal role in shaping the future intelligent enterprise driven by AI.

What you’ll do

• Work alongside a team of AI scientist, engineers, product owners, and domain experts.

• Assist the development and deployment of AI solutions to improve business efficiency and productivity.

• Assist the co-development of Large Language Model Platform-as-a-Service with product engineering teams
• Assist the development of generic services to support applications powered by Generative AI
• Assist the maintenance of production system to ensure high availability and performance
• Experiment with different Large Language Model deployments, e.g. OpenAI, LLaMA, PaLM2, etc.
• Contribute to platform reference material development using CAP & Python FAST libraries.

• Communicate with stakeholders to understand internal business processes and challenges.
• Experiment with different techniques (e.g. ML, prompt engineering, and fine-tuning etc).

• Stay up-to-date with the latest advancements in machine learning and GenAI technologies, and evaluate their potential applications in business processes.

What you bring

• Currently in a Bachelor's or Master's degree course in Computer Science, Statistics, Mathematics, or any other related field.
• Must be able to commit to a full-time internship employment for a period no shorter than three months.
• Proficiency in one or more of these programming languages: JavaScript, TypeScript, Python.
• Proficiency in development tools such as Git.
• Experience with Generative AI (e.g. ChatGPT, Claude 2, Stable Diffusion) with both prompt engineering and API.
• Experience with Python-based AI/ML frameworks, specifically LangChain and LlamaIndex.
• Strong problem-solving and analytical skills, with the ability to work independently with ownership, and as part of a team with strong sense of responsibilities.
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Proficiency in backend application development using NodeJS or FastAPI is a plus.

• Proficiency in frontend frameworks such as Vue, React, Angular is a plus.

• Proficiency in deployment tools such as Docker or Kubernetes is a plus.
• Experience with SAP UI5 or Open UI5 is a plus.
• Experience with app deployment on SAP Business Technology Platform is a plus.

​Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 408749  | Work Area: Administration  | Expected Travel: 0 - 10%  | Career Status: Student  | Employment Type: Limited Full Time   | Additional Locations: #LI-Hybrid.