ML Engineer-SAP AI Core/ Metering Platform

We help the world run better

Meet Our Team

The SAP AI Product Engineering Team is a vital component of the SAP Business AI unit and plays a significant role in advancing the Intelligent Enterprise. Our objective is to integrate Artificial Intelligence capabilities into all enterprise applications, enabling customers to fully leverage their business data. We are responsible for foundational solutions such as SAP Generative AI Hub, AI Core, and AI Launchpad, which assist application AI developers in embedding AI functionality within their products. The team operates from locations in Germany, Singapore, and India, fostering an environment characterised by innovation and a dynamic, start-up culture.

What You'll Do

As a Backend Developer on the Prompt Evaluation, Optimization & Metering Platform, you'll improve prompt accuracy and billing reliability. Work with engineers, architects, and product managers to develop robust systems for prompt engineering and metering services. You will also gain expertise in metering and billing, key team responsibilities.

Your tasks will include:

• Design and develop scalable backend services using Python and G
• Identify and resolve data inconsistencies and billing inaccuracie
• Build systems with observability features and fault toleranc
• Collaborate with cross-functional teams using agile methodologie
• Participate in code reviews, sprint planning, and retrospective
• Develop skills in metering and billing fundamentals to enhance domain expertis
• Use Kubernetes and Argo for deployment and workflow orchestratio
• Maintain code quality and operational readiness through automation and testing

What You Bring

Bachelor's or Master's in Computer Science or related field
4-8 years backend development experience
Proficient in Python and Go
Microservices and RESTful API expertise
Kubernetes and Argo Workflows familiarity
Experience with AWS, GCP, or Azure
Collaborative, adaptable to global teams
Strong problem-solving and attention to detail
Eager to learn and improve

Nice to Have

Understanding of CI/CD pipelines and DevOps practices
Familiarity with observability tools and performance monitoring
Knowledge of distributed systems and data consistency models

Bring out your best

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our .

Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 440610 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid