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 bring

You have strong coding and debugging skills and hands-on experience building and operating cloud-based microservices on programming language GoLang, C# (preferred) or Java, Python, JavaScript. A solid understanding of APIs, distributed systems basics, and CI/CD practices is required. Experience with AI/LLM workflows, including prompt design, basic RAG patterns, and integrating AI services into applications, is important. Familiarity with observability (logging, metrics, tracing), performance tuning, and system monitoring is expected. An ownership mindset, combined with experience in testing, validation, and troubleshooting production systems, will set you up to contribute well.

What you'll build

You'll design, develop, and maintain production-grade AI-enabled features and services, with a focus on scalability and reliability. LLM integration and basic RAG workflows, including prompt management and response validation, are part of your core work. You'll build and improve evaluation and benchmarking pipelines to measure AI output quality and system performance. Application health, latency, throughput, and system efficiency are areas you'll actively monitor and improve. Debugging and resolving production issues, contributing to incident analysis, and implementing stability fixes are all expected. You'll support and enhance CI/CD pipelines and deployment workflows. Cross-functional collaboration to refine requirements and improve system design is a regular expectation.

Where you belong

You'll own features and modules end-to-end and work closely with product, data, platform, and AI teams to align on goals and deliver quality results. This team values direct communication, shared accountability, and continuous improvement. You'll participate in code reviews, share technical knowledge, and help build team capabilities as you develop deeper expertise in AI-native application development.

Skills used in this role: AI Adoption Capability, AI output quality assurance, AI-assisted development, context engineering, agentic orchestration, agentic engineering, application security, cloud architecture, observability, semantic retrieval, high availability engineering, troubleshooting, evaluations and benchmarking engineering, CI/CD.