SAP ABAP Developer/Lead

Description :

Summary :

Build AI native, HANA optimized SAP applications and extensions by combining deep ABAP on HANA engineering with agentic AI patterns (LLMs + tools + retrieval + evaluation).

The role focuses on delivering high performance, cloud ready, production-grade solutions using HANA pushdown principles, modern ABAP, and governed AI capabilities that can reason, retrieve context, and assist or act within enterprise SAP workflowswithout training foundation models from scratch.

Core Responsibilities :

ABAP on HANA Engineering (Performance First) :

- Design and develop ABAP solutions optimized for SAP HANA using pushdown principles (minimize data movement, maximize in database processing).

- Build efficient data models and access patterns using CDS views, associations, annotations, and authorization concepts.

- Implement performance critical logic using AMDP / SQLScript where appropriate, with careful governance and testing.

Modern ABAP Development & Clean Design :

- Develop modular, testable, and maintainable ABAP code aligned to clean architecture practices and enterprise SDLC.

- Build services and APIs using modern paradigms (OData/service exposure patterns), ensuring stability, versioning, and contract-first behavior.

- Apply secure coding standards and authorization checks consistently across data and service layers.

Data Modeling, Reporting & Semantic :

- Enablement Model enterprise business entities using CDS semantics to support both transactional and analytical consumption.

- Design reusable data artifacts that support downstream consumers (UI, integrations, analytics, and AI retrieval layers).

- Ensure lineage-friendly structures and consistent business definitions to reduce ambiguity across systems.

AI Native SAP Capabilities (Agentic + Grounded) :

- Build AI enabled SAP experiences that integrate ABAP services with LLM capabilities, including :

1. Tool calling orchestration (LLM triggers approved SAP actions via controlled APIs)

2. Retrieval grounded outputs (RAG style grounding) over governed SAP data and documentation

3. Deterministic fallbacks when grounding is weak or confidence is low Implement prompts/templates, tool schemas, and context assembly strategies that reduce hallucinations and enforce enterprise safety boundaries.

Quality Engineering & Evaluation Loops (AI + ABAP) :

- Build automated tests (unit/integration/contract) for ABAP services and data artifacts enforce regression coverage for performance and correctness.

- Establish evaluation harnesses for AI behaviors offline golden datasets, scenario-based tests, and online monitoring to detect drift/regressions.

- Introduce guardrails for AI outputs authorization-aware context filtering, redaction rules, action confirmations, and audit logs.

Observability, Reliability & Operations :

- Instrument services and critical logic with logs/metrics/traces suitable for production support and root-cause analysis.

- Design robust error handling for enterprise flows: retries, idempotency, correlation IDs, and safe failure modes.

- Support incident response with runbooks and structured diagnostics continuously harden solutions based on observed failure patterns.

Integration & End to End Delivery :

- Integrate ABAP on HANA services with SAP and non SAP ecosystems (event-driven patterns, API gateways, enterprise integration layers).

- Collaborate with UX, integration, data, and platform teams to ensure end to end solution correctness and performance.

- Prototype rapidly, demonstrate frequently, and evolve prototypes into scalable production systems with security and compliance baked in.

AI Native Must Have :

- Strong hands on expertise in ABAP Development on HANA (performance tuning, pushdown, efficient SQL access patterns).

- Proficiency with CDS views and modern data modeling practices (associations, annotations, authorization concepts).

- Experience with AMDP / SQLScript for performance critical scenarios and controlled code pushdown.

- Solid software engineering discipline: clean design, testing mindset, CI/CD orientation, and production readiness.

AI native build capability :

- LLM integration, retrieval grounding, tool orchestration, evaluation loops, and safety boundaries.

- Secondary / Strongly Beneficial Skills :

- OData/service design patterns, API lifecycle management, and contract-first development.

- Experience integrating SAP backends with cloud runtimes and enterprise integration platforms. Familiarity with performance benchmarking, load testing, and query-plan driven tuning practices.

- Knowledge of SAP security/authorizations and compliance requirements for sensitive enterprise

(ref:hirist.tech)