SAP iXp Intern - Full-Stack AI Developer

SAP SE; Palo Alto, Northern (CA, KY); Hybrid; USD 21,000 - 85,000; Part time

Benefits offered by this job

Culture of Collaboration

Project-driven Experience

Gain Visibility

Job summary

SAP SE in Palo Alto is offering an iXp Intern - Full-Stack AI Developer position for 6 to 12 months. You will work from the SAP office, contributing to Generative AI applications across front-end, back-end, and data integration.

Ideal candidates have a Master’s in CS/AI/data science or are close to graduating. You will design prompts, build AI features, and collaborate with cross-functional teams on real-world projects.

Qualifications

• Master’s degree in computer science, artificial intelligence, data science, or equivalent; graduation status required.
• Foundational knowledge of Generative AI, large language models, ML, NLP, or AI app development.
• Experience developing RESTful APIs, data-driven apps, or cloud services.
• Understanding of prompt engineering, embeddings, vector databases, or RAG.
• Past work experience is an added advantage.

Responsibilities

• Assist in designing, developing, and implementing Generative AI apps within SAP ecosystem.
• Develop Generative AI use cases like intelligent agents, enterprise search, summarization, content generation, workflow automation.
• Build retrieval-augmented generation solutions using embeddings and semantic search.
• Use SAP BTP, SAP AI Core, and generative AI hub to integrate and manage foundation models.
• Design and optimize prompts, outputs, and model orchestration for enterprise scenarios.
• Implement back-end services using Python, Node.js, or Java; integrate LLMs with SAP and third-party APIs.
• Develop responsive UI for AI apps using SAP Fiori, SAPUI5, or modern front-end frameworks.
• Evaluate Gen AI solutions for accuracy, latency, cost; help implement guardrails.
• Participate in code reviews, debugging, testing, and AI evaluation for quality.
• Collaborate with product, design, data science, and dev teams on requirements.

Skills

Generative AI

RESTful APIs

Python

Node.js

Java

AI model integration

Cloud-based services

Education

Master's degree in CS / AI / data science

Tools

SAP BTP

SAP AI Core

SAP HANA Cloud

SAPUI5

Fiori

Job description

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SAP iXp Intern - Full-Stack AI Developer

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

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
• Experience with SAPUI5, SAP Fiori, or modern front-end frameworks for building AI-powered user experiences
• Knowledge of responsible AI practices, including data privacy, security, bias, hallucination mitigation, and AI guardrails
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud) is a plus
• Relevant academic, internship, research, open-source, or personal project experience involving Generative AI or full-stack development

Be part of SAP Next Gen, a global community for students, universities, schools and educational partners, who are passionate about innovation and technology.

• Culture of Collaboration: Partner with experienced SAP colleagues and expert mentors who will support your growth. Grow professionally through personalized mentoring, coaching, and career development support.
• Project-driven Experience: Kickstart your career with hands-on learning experience, making an impact from day one by contributing to meaningful projects that help the world run better. You’ll have endless learning resources at your fingertips and gain future-ready skills from a variety of virtual, in-person, and hybrid learning sessions, cultivated just for you, and aligned with our learning approach.
• Gain Visibility: Build relationships with leaders and peers across teams and functions. Showcase your ideas, skills, and creativity in a global, fast-paced environment. Open doors for future career opportunities within SAP and beyond.

Follow @LifeatSAP on Instagram and don't miss anything about our experiences worldwide!

#LifeAtSAP #SAPNextGen

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.

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.

SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards demonstrating SAP’s commitment to pay equity. SAP provides the hourly base salary rate range applicable for the posted role. The targeted range for this position is15.00 - 62.00. The actual amount to be offered to the successful candidates will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. SAP offers limited benefits for employees hired into hourly or like roles subject to applicable plan/policy terms. A summary of benefits and eligibility requirements can be found by clicking this link: www.SAPNorthAmericaBenefits.com .

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

Location: Palo Alto, CA, US, 94304

Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto
Job Segment: Front End, SAP, ERP, Cloud, Computer Science, Technology