Principal Machine Learning Engineer
Listed on 2026-02-10
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Software Development
Software Engineer, Cloud Engineer - Software, AI Engineer, Full Stack 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.
As a key member of our fast-moving team, you will have the unique opportunity to define and execute the vision for AI and LLM-based systems are looking for someone with exceptional programming expertise, deep distributed systems knowledge, and the curiosity and grit to tackle complex, ambiguous challenges. You will work across a diverse technology stack, collaborate closely with engineers and product leaders, and help set the technical direction for AI initiatives.
Key Responsibilities- Architect, design, and implement production systems in Go, Java, and Python (full-stack experience a plus)
- Build and optimize backend services, databases, APIs, and LLM infrastructure
- Leverage technologies such as Kafka, Postgres, Hana, gRPC, and advanced LLM frameworks
- Mentor and guide engineers from junior to senior levels, fostering technical excellence
- Partner with cross-functional teams to translate business goals into scalable, high-impact solutions
- Bachelor’s degree in Computer Science, Mathematics, Physics, or related field, with strong programming expertise
- 10+ years of software engineering experience, with a track record of delivering complex systems
- Proven ability to work independently and lead initiatives from idea to deployment
- Hands‑on experience with AI/ML and/or LLM systems in a production environment
- Expertise in distributed systems design and implementation
- Familiarity with CI/CD pipelines and modern development practices
- Strong English communication skills and ability to thrive in global, multicultural team
- Open-source contributions or significant personal technical projects
- Strong problem-solving skills and an iterative, results-oriented mindset
- Build cutting-edge AI and LLM systems used across SAP’s global platform
- Work in a high-autonomy, trust-based environment without unnecessary bureaucracy
- Collaborate with some of the best engineers in the industry in a fast-paced, impact-driven team
- Take ownership of projects that directly influence SAP’s AI strategy and product capabilities
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, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression,…
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