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.
Purpose and Objectives
The SAP HANA Database & Analytics organization is a global organization dedicated to delivering database & analytics technology and solutions such as SAP HANA Database and SAP Analytics Cloud that address customers' unique and competitive business requirements.
In the SAP HANA Database & Analytics Cross-Engineering organization, we work with large amounts of quality-related data and the latest AI/ML technologies to improve the quality of our products and make developers' lives easier.
Expectations and Tasks
As a Software Engineer, you will be working in the global HANA QA Data Engineering Development team within SAP HANA & Analytics Cross-Engineering, alongside a group of exceptionally talented and motivated colleagues. Your role will focus on backend development and AI/ML engineering.
What You'll Do:
- Design and develop AI-powered tools and services that leverage Large Language Models (LLMs) and other AI techniques to tackle software engineering challenges such as fault localization, automatic code repair, and providing actionable insights to improve software quality and developer productivity.
- Build and manage reliable data pipelines for training and serving AI models, using techniques to improve model performance and generalization.
- Collaborate with cross-functional teams to develop and execute a comprehensive AI strategy that aligns with our goals of adopting and customizing machine learning models for quality improvement.
- Continuously monitor, fine-tune, and optimize AI models to ensure optimal performance and adapt to changing data patterns and business requirements.
- Stay up-to-date with the latest AI trends, including agentic workflows and tool-use patterns, context engineering, multi-agent orchestration, and emerging integration standards (e.g., MCP, Skills, and other evolving patterns), and apply them to innovate our AI-powered tools and services.
- Document your findings, solutions, and best practices clearly and concisely for both technical and non-technical audiences.
- Read and apply relevant research (e.g., arXiv papers, industry technical reports) on LLMs, code intelligence, and software engineering automation, and translate promising findings into practical prototypes or production improvements.
What You Bring:
- Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree a plus).
- Solid understanding of software development best practices and a keen interest in applying machine learning techniques to build and deploy AI-powered applications, with a willingness to learn and adapt to the specific challenges and requirements of the role.
- Proficiency in Python programming and an understanding of its application in AI/ML projects. Familiarity with PyTorch, Hugging Face, or Langchain is a plus but not mandatory.
- 3+ years of experience in software development, with expertise in backend development and AI/ML engineering is a plus, but no hard limit on years of experience.
- Experience with Docker, containerization technologies, and cloud infrastructure, along with an understanding of DevOps practices, is a plus but not mandatory.
- Database and SQL experience, with an ability to manipulate and manage data efficiently.
- Excellent communication and collaboration skills, with the ability to work effectively in a global, cross-functional team.
- Strong problem-solving skills, creativity, and the ability to work independently in a fast-paced environment.
- Ability to read and critically evaluate ML/NLP research papers and assess their applicability to real-world engineering problems.
#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.
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: 457655 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid