SAP iXp Intern - Full-Stack AI Developer
Listed on 2026-09-10
-
Software Development
AI Engineer (Applied/Software)
Select how often (in days) to receive an alert:
Select how often (in days) to receive an alert:
SAP iXp Intern - Full-Stack AI DeveloperWe 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
Duration: 6 - 12 months
- 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, reliability, latency, and cost, and help implement guardrails to reduce hallucinations and unsafe outputs
- Participate in code reviews, debugging, testing, and AI evaluation to ensure high-quality performance and functionality
- Collaborate with cross-functional teams, including product, design, data science, and development teams, to align on project requirements and deliverables
What You’ll Bring
We’re looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning
Qualifications
- Position is in Palo Alto, and employees need to work from the SAP office in Palo Alto.
- Ability to work full time for 40 hours per week is mandatory.
- Master’s degree in computer science, artificial intelligence, data science, or an equivalent field; candidates must have graduated or be graduating soon.
- Foundational knowledge of Generative AI, large language models, machine learning, natural language processing, or AI application development
- Experience developing RESTful APIs, data-driven applications, or cloud-based services
- Understanding of prompt engineering, embeddings, vector databases, or retrieval-augmented generation
- Past work experience is an added advantage.
Preferred Skills
- Hands-on experience developing applications and agents using large language model APIs or open-source foundation models
- Experience with prompt engineering, structured outputs, function calling, AI agents, RAG frameworks, or model-evaluation techniques
- Familiarity with SAP Business Technology Platform, SAP AI Core, the generative AI hub, or SAP HANA Cloud is a plus
- Understanding of embeddings, semantic search, vector databases, knowledge graph and the SAP HANA Cloud vector engine
- Exper…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).