Job Summary

If you need reliable, well-defined requirements before you can start, this role will be uncomfortable. If youd rather supervise an AI than trust it blindly, and you want to be the technical bridge between a complex accounting domain and an AI platform, keep reading. Youll take end-to-end technical ownership of critical systems and contribute to engineering excellence across the team. Youll be the technical bridge between GHRAs domain logic (royalty, production volumes, ownership allocation) and the AI platform layer - translating accounting business rules into context that agents can reason over reliably. Mentoring less-experienced engineers, guiding design and code quality, and building strong technical capabilities within the team are all part of the role. The team operates across global, cross-functional groups in a culture that values continuous improvement, operational excellence, and knowledge sharing.
What youll bring
You have deep experience in distributed systems and scalable application design, with robust hands-on skills in LLMs, advanced RAG patterns,



and agentic workflows.
Experience building agentic workflows on SAP AI Core and integrating LLM-based features into CAP Java applications is expected.
Proficiency in system design for scale, resiliency, and fault tolerance is required.
Solid experience in performance optimization, cost management, and troubleshooting complex production systems is essential.
A solid understanding of SRE principles, observability (logs, metrics, tracing), and incident management is expected - including Open Telemetry instrumentation and SAP Cloud Logging dashboards.
Experience designing evaluation frameworks for AI systems, validating model behavior, and applying agentic engineering patterns is critical.
You use Claude-style tools to generate code and ideas, but you read and challenge their output - you know when the AI is making the wrong call in both code and design.
Familiarity with multi-tenant

📌 Sr Developer Bengaluru (India)
🏢 Classic Marble
📍 India