AI Native Software Engineer

Overview

Build and operate production-grade integrations on SAP BTP Integration Suite, combining integration engineering fundamentals with agentic AI patterns to augment the integration lifecycle.

What you'll do

• Design, develop, and run end-to-end integration scenarios across SAP and non-SAP systems in cloud, on-premise, and hybrid landscapes.
• Build, structure, and manage large integration flows with modularity, reusability, and maintainability for enterprise scale.
• Create and maintain integration flows using routing, splitting, gathering, and other transformation patterns.
• Implement message mappings and data transformations for enterprise formats such as JSON, XML, and CSV.
• Apply canonical modeling and contract-first practices to reduce brittle point-to-point dependencies.
• Use scripting (e.g., Groovy) to implement complex transformation logic, enrichment, validation, and conditional execution.
• Implement message persistence patterns (e.g., data stores) to support idempotency, retries, correlation, and resilience.
• Design and expose secure APIs through API management capabilities (policies, authentication/authorization, throttling, versioning).
• Integrate third-party applications using connector-based approaches and standardized integration patterns.
• Enable event-driven integration using messaging and event capabilities for near real-time propagation.
• Build integration agents that generate initial iFlows from system/endpoint selections and validate them against enterprise standards.
• Implement retrieval-grounded assistance drawing on interface catalogs, mapping specs, standards, runbooks, and known incident patterns.
• Develop AI-driven anomaly detection and prediction for integration/API behavior, with human-in-the-loop controls for remediation.
• Build automated testing strategies for integrations, including schema/contract validation, payload regression, replay testing, and API testing.
• Implement AI evaluation harnesses (offline golden test sets and online monitoring) and release gates for integration and AI prompt/tool changes.
• Set up monitoring dashboards and alerts for flows, APIs, and event-driven pipelines with correlation IDs and end-to-end tracking.
• Diagnose and resolve integration issues using structured logs, message traces, and failure-mode analysis.
• Apply integration advisory practices to design hybrid integration platforms and define best practices across teams.

What you'll need

• Minimum 3 years of experience.
• Must have: SAP BTP Integration Suite.
• Strong hands-on expertise with SAP BTP Integration Suite concepts and building blocks (cloud integration/iFlows, transformation patterns, monitoring).
• Proven ability to implement message mappings, routing patterns, and transformation logic across enterprise data formats.
• Practical scripting capability (e.g., Groovy) for advanced integration flow customization and performance tuning.
• Solid API design and management fundamentals (security, throttling, lifecycle/versioning, observability).
• AI-native delivery capability: tool-augmented workflows, retrieval-grounded outputs, measurable evaluation loops, and safe action boundaries.
• 15 years of full-time education.

Nice to have

• Event-driven integration design and enterprise messaging patterns.
• Connector-based integrations with third-party SaaS ecosystems.
• Migration and modernization experience from legacy integration platforms to cloud integration.
• Integration governance and advisory methodologies for enterprise-wide standardization.

Details

• Location: Bengaluru.
• Role does not center on training or fine-tuning foundation models from scratch; it owns AI behavior in the integration layer (grounding, evaluation, guardrails, observability).