About this role
The Role
Job Description
What you'll bring
You are a software engineer with developing experience in backend development and a genuine interest in building AI-powered products. You bring strong communication skills, a collaborative approach, and the creative thinking and learning agility to adapt as the role evolves.
- A degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Hands-on experience with Python and backend development, including APIs and async programming, with a solid understanding of REST, distributed systems, and data modelling.
- Hands-on experience with LLM applications, RAG, tool calling, or agentic workflows - or clear evidence of self-directed learning, with exposure to frameworks such as FastAPI or LangGraph.
- Experience building and operating cloud-based applications or microservices, including Docker, Kubernetes, CI/CD, automated testing, and secure service integration.
- You follow AI's rapid evolution closely and apply AI-assisted tools and context engineering in your work - demonstrated through delivered projects, prototypes, research, or open-source contributions.
- A practical and accountable approach to AI - you apply AI-assisted tools, context engineering, and automation to build better solutions, while taking responsibility for the quality, safety, and alignment of AI-generated outputs.
- Fluency in English is required for this role.
What you'll build
You will build AI-powered systems used across SAP Globalization and beyond - from backend services and RAG pipelines to evaluation frameworks, all in production.
- Design, implement, test, and maintain AI-powered backend services, APIs, and agent tools using Python, with attention to reliability, scalability, and observability.
- Build RAG systems and agentic workflows grounded in trusted enterprise knowledge, improving prompt design, retrieval quality, output handling, and user experience.
- Integrate AI capabilities with SAP Joule, ServiceNow, SAP BTP services, and other enterprise systems.
- Build and maintain automated tests, evaluation pipelines, and benchmarks to measure AI system quality and performance.
- Translate validated experiments and proof-of-concept work into production-ready capabilities, exploring emerging models, frameworks, and protocols along the way.
- Own features and modules end to end, collaborating with product managers, engineers, and domain specialists, while sharing technical knowledge to help other teams adopt AI-assisted engineering practices.
Where you belong
You'll join SAPGLO E-Invoicing Localization, part of SAP Globalization AI - a global team across 40 locations building AI agents, intelligent tools, and the cloud infrastructure to scale them. The current focus is on applying AI to coding, research, automation, and software design to accelerate compliant solutions for markets worldwide. Learning, coaching, and knowledge sharing are part of how the team runs. This is an active build phase - a good moment to shape how AI is adopted in enterprise localization at SAP.
Equal Employment Opportunity (EEO) Statement
Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Additional Information
About SAP With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives. As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.
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 complete your application, please send a request to the 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 age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), 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.
Copy linkShare on XShare on FacebookShare on LinkedInShare via email
Similar Roles
- Senior Application AI Engineer - Globalization E-Invoicing Unit
- Teams:Engineering
- Locations:Sao Leopoldo, Brazil
- Display Date:2 days ago
Work Pattern
Hybrid-
Contract Type
Full-time
- Student Software Engineer – Cloud, Big Data, Billing & AI
- Teams:Information Technology
- Locations:Ra'anana, Israel
- Display Date:5 days ago
Work Pattern
Hybrid-
Contract Type
Part-time
- Principal Machine Learning Engineer
- Teams:Engineering
- Locations:Palo Alto, United States
- Display Date:1 week ago
Work Pattern
Hybrid-
Contract Type
Full-time
Our hiring process, step by step
Every role and team is different, but here's what hiring typically looks like at SAP.
- Search and apply
Search and apply for roles on the SAP Careers site. You can apply to multiple positions that match your interests and experience.
- Application review
Our recruiting team reviews your application and profile to assess your skills, experience, and motivation for the role.
- Interviews and assessments
Depending on the role, this may include recruiter and hiring manager interviews, and technical or behavioral assessments.
- Offer and onboarding
If selected, you'll receive an offer outlining your role, compensation, and pre-onboarding activities leading up to your first day at SAP.
Not ready to apply? Stay in touch.
Join our talent community to hear about roles that match your skills, interests, and goals. We'll keep you updated with opportunities and insights.
Join our Talent Community
Application AI Engineer
Apply Now