SAP ABAP Cloud

Fittbot; Hyderabad, Pune District, Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Fittbot is seeking an AI-native SAP specialist to design and build ABAP Cloud applications that embed intelligent capabilities into SAP business processes. You will integrate LLM services, build RAG pipelines, and ensure robust software engineering practices to deliver scalable, enterprise-grade solutions.

The role focuses on translating business problems into AI-enabled SAP solutions, with emphasis on safety, governance, and scalable architectures.

Qualifications

• Experience designing and building ABAP Cloud apps embedding AI into SAP processes.
• Experience integrating LLMs and AI services into applications.
• Experience building RAG pipelines, embeddings and retrieval.
• Strong software engineering fundamentals including CI/CD.
• Ability to translate business problems into AI-enabled SAP solutions.

Responsibilities

• Design and build ABAP Cloud apps embedding AI into SAP processes.
• Implement AI-enabled SAP extensions using RAP and cloud patterns.
• Develop clean ABAP code that integrates with AI services and APIs.
• Build retrieval pipelines using SAP and non-SAP data sources for RAG scenarios.
• Ensure safety, reliability, and observability in AI-enabled SAP workflows.
• Prototype quickly, demo frequently, and scale AI prototypes to production.

Skills

SAP ABAP Cloud

LLM integration

RAG pipelines

Software engineering

AI to SAP translation

Tools

RAP

CDS

OData

Job description

AI Powered Tech Talent

Build AI native, cloud ready SAP solutions on ABAP Cloud by combining deep ABAP and SAP platform expertise with agentic AI architectures, LLM tooling, and rapid experimentation. The role focuses on designing, implementing, and scaling intelligent SAP applications that integrate ABAP Cloud with LLMs, retrieval pipelines, APIs, and enterprise systemsmoving from automation to autonomy.

This role actively builds AI systems, not just consumes AI tools.

Core 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.

Primary Skills (AI Native Must Have)

• SAP ABAP Cloud (RAP, CDS, OData, clean core principles).
• Hands on experience integrating LLMs and AI services into applications.
• Experience building RAG pipelines, embeddings, and contextual retrieval.
• Strong software engineering fundamentals (design, testing, CI/CD).
• Ability to translate business problems into AI enabled SAP solutions.

Secondary / Strongly Beneficial Skills

• Experience with SAP BTP, eventing, APIs, and cloud services.
• Familiarity with agent frameworks or custom orchestration logic.
• Exposure to vector databases, search, or semantic indexing (SAP native or external).
• Knowledge of enterprise security, authorization, and compliance patterns.