StageInternship, Analytics & Agentic AI FM
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.
AI Developer Intern Analytics & Agentic AI
What youll do
First youll be onboarded within the team to understand the SAP Business Data Cloud solution our development culture and delivery process then youll 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 PoCs 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
Were looking for a team player who takes initiative perseveres and stay curious: Masters 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)
And is a plus:
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 (LangChain langgraph) or multi-tool orchestrations.
Knowledge of data engineering Kubernetes and cloud platforms.
Meet your team
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.
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
SAPs 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:
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: Administration Expected Travel: 0 - 10% Career Status: Student Employment Type: Limited Full Time Additional Locations: #LI-Hybrid
Required Experience:
Intern
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer soluti ... View more
