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

First, you’ll be onboarded within the team to understand the SAP Business Data Cloud solution, our development culture and delivery process, then you’ll participate in the AI-based alternative of our Line of Business Query Designer.

You will:

• Prototype and implement AI components: LLM-powered pipelines, RAG, tool/agent integrations, and evaluation harnesses.

• Implement backend services and APIs to expose AI capabilities (FastAPI/Flask or similar).

• Develop and maintain CI/CD and MLOps pipelines to move Po Cs to repeatable deployments (Jenkins, GitHub Actions, etc.).

• Containerize and deploy components using Docker and Kubernetes (or local dev equivalents).

• Help design, run, and analyze automated tests and evaluation metrics for model quality, hallucination, latency, and cost.

• Collaborate with data engineers to build and maintain retrieval indices, embeddings pipelines, and feature stores.

• Participate in design, sprint reviews, and cross-functional demos with product, QA, and UX.

• Contribute to documentation, reproducible experiments, and internal enablement material.

What you bring

We’re looking for a team player who takes initiative, perseveres, and stay curious:

• Master’s student in Computer Science, Engineering, Data Science, Artificial Intelligence or related field.

• Strong Python programming skills; familiarity with JavaScript/TypeScript is a plus.

• Experience or coursework with ML/Deep Learning fundamentals and at least basic exposure to LLMs / transformer models.

• Familiarity with REST APIs and backend frameworks (FastAPI, Flask, Django).

• Experience with Git/GitHub and collaborative software development workflows.

• Basic knowledge of containers (Docker) and comfort using Linux and cloud services.

• Interest in productionizing ML systems, good software engineering hygiene, and collaborative agile teamwork.

• Excellent communication skills in English and French (at least B2 level in both)

Optional (good to have):

• Hands-on experience with Hugging Face, OpenAI, or other LLM platforms; prompt engineering and evaluation experience.

• Familiarity with RAG approaches, vector databases (e.g., ChromaDB, Pinecone, Milvus or FAISS), and embedding models.

• Exposure to MLOps/LLMOps tooling (MLflow, BentoML), observability, and cost-aware deployment.

• Experience with agentic frameworks (Lang Chain, langgraph) or multi-tool orchestrations.

• Knowledge of data engineering, Kubernetes, and cloud platforms.

Where you belong

Our team is part of SAP Data & Analytics organization whose mission is to help businesses turn data into actionable insights, enabling them to make intelligent decisions, improve operations, and drive growth.
Based in Paris and working closely with different SAP development teams across the globe (Walldorf, Vancouver, Dublin, Shanghai, Bangalore, and others), our team is focusing on creating analytics and operational queries from SAP Line of Business application data. We manage all phases of software development, from design to operational support, implementation, quality assurance and deployment.

Duration: 6 months
Start Date: March-April 2026
In accordance with the French legislation, for any duration over 2 months, this internship is paid in line with the SAP gratification grid.

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 world.

SAP is committed to the values of Equal Employment Opportunity and provides 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.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 438167 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #

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