AI Native Software Engineer

Overview

Build AI-native, HANA-optimized SAP applications and extensions by combining deep ABAP on HANA engineering with agentic AI patterns (LLMs, tools, retrieval and evaluation). The role focuses on high-performance, cloud-ready, production-grade solutions using HANA pushdown principles and governed AI capabilities. It does not center on training foundation models from scratch.

What you'll do

• Design and develop ABAP solutions optimized for SAP HANA using pushdown principles to minimize data movement and 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.
• 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.
• Model enterprise business entities using CDS semantics to support transactional and analytical consumption.
• Build AI-enabled SAP experiences integrating ABAP services with LLM capabilities, including tool calling orchestration, retrieval-grounded outputs (RAG style) and 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.
• Build automated unit, integration and contract tests for ABAP services and data artifacts, enforcing regression coverage for performance and correctness.
• Establish evaluation harnesses for AI behaviors (offline golden datasets, scenario-based tests and online monitoring for drift/regressions).
• Introduce guardrails for AI outputs: authorization-aware context filtering, redaction rules, action confirmations and audit logs.
• Instrument services and critical logic with logs, metrics and 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.
• 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 and evolve prototypes into scalable production systems.

What you'll need

• Minimum 7.5 years of experience is required.
• 15 years full-time education is required.
• 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.

Nice to have

• 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 data.