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, outstanding benefits, and a team that wants you to grow and succeed.

What You'll Build

You will build Agent Evaluation as a Service, Agent Optimization as a Service, and the MLflow-backed experiment layer that ties them together—plus the Metering Platform that bills those workloads on SAP AI Core. Evaluation as a Service will run systematic checks of prompts and agents against labeled datasets: traces, scorers, LLM-as-judge, tool-call correctness, groundedness, and regression suites so silent agent failures are caught before production. Optimization as a Service will close the loop: refine prompts and agent behavior against those metrics,



write winners to the Prompt Registry, and keep workflows model-agnostic across Generative AI Hub models. You will wire MLflow-style tracking (runs, params, metrics, traces) so teams compare versions in AI Launchpad and feed scores into the next optimization. You will also design Python/Go backends that meter every eval and optimization run, close billing leaks, and stay observable and fault-tolerant on Kubernetes and Argo. You will document architecture, join agile rituals, and grow metering plus eval/optimize domain skill. Outcome: a reliable evaluate–optimize–bill platform that application teams can trust when they embed Generative AI Hub and AI Core.

What You Bring

You bring 8–14 years of backend development and a Bachelor's or Master's in Computer Science or a related field. You are proficient in Python and Go and have shipped microservices and REST APIs. You know Kubernetes and Argo Workflows, and

📌 Senior Platform Engineer (Bengaluru)
🏢 SAP
📍 Bengaluru