Responsibilities

AI Native SAP Application Build
Design and build ABAP Cloud applications that embed LLM driven intelligence into SAP business processes.
Implement AI enabled SAP extensions using RESTful ABAP Programming Model (RAP), event driven patterns, and cloud native architectures.
Develop clean, testable ABAP code that integrates seamlessly with AI services and enterprise APIs.

Agentic &
LLM Integration
Implement agentic workflows: tools, planners, memory, orchestration, and evaluation loops integrated with SAP processes.
Integrate LLMs, embeddings, and retrieval pipelines (RAG) with ABAP Cloud services for contextual, grounded responses.
Design prompt templates, grounding strategies, fallback logic, and safety boundaries suitable for enterprise SAP use cases.

Data, Retrieval &
Context
Build and integrate retrieval pipelines using SAP and non SAP data sources (business objects, CDS views, documents, events).
Implement chunking, indexing, embeddings,



and context assembly to support production grade RAG scenarios.
Ensure factuality, traceability, and explainability in AI driven SAP workflows.

Quality, Safety &
Reliability
Implement evaluation frameworks (offline and online) for AI behaviors integrated with SAP processes.
Design guardrails for authorization, data privacy, action boundaries, and error handling.
Build observability into AI enabled SAP applications (telemetry, logging, failure analysis).

Rapid Experimentation &
Scale Out
Prototype quickly, demo frequently, and iterate based on business feedback.
Move AI prototypes into enterprise grade SAP production systems with performance, security, and compliance in mind.
Continuously refine AI behavior, prompts, and orchestration strategies.

📌 Sap Abap Cloud 7713 Bengaluru
🏢 RNR Global Certification
📍 Bengaluru