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 delivers high-performance, cloud-ready, production-grade solutions without 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.
• 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 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.
• Design reusable data artifacts that support downstream consumers (UI, integrations, analytics and AI retrieval layers).
• Ensure lineage-friendly structures and consistent business definitions across systems.
• Build AI-enabled SAP experiences integrating ABAP services with LLM capabilities, including tool calling orchestration, retrieval-grounded outputs over governed SAP data and documentation, 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, including offline golden datasets, scenario-based tests and online monitoring to detect drift and regressions.
• Introduce guardrails for AI outputs, including 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, including retries, idempotency, correlation IDs and safe failure modes.
• Support incident response with runbooks and structured diagnostics, and harden solutions based on observed failure patterns.
• Integrate ABAP on HANA services with SAP and non-SAP ecosystems using event-driven patterns, API gateways and 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 built in.

What you'll need

• Minimum 3 years of experience.
• Must have: SAP ABAP Development for HANA.
• Strong hands-on expertise in ABAP Development on HANA, including performance tuning, pushdown and efficient SQL access patterns.
• Proficiency with CDS views and modern data modeling practices, including associations, annotations and 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.
• 15 years full-time education required.

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.

Details

• Location: Bengaluru.
• Does not center on training or fine-tuning foundation models from scratch; the role builds and owns AI behaviors (grounding, evaluation, guardrails, observability) as part of SAP solution delivery.