AI Native Software Engineer

Overview

Build and operate production-grade enterprise 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 cloud, on-premise and hybrid landscapes, enabling connectivity across SAP and non-SAP systems.
• Build and maintain integration flows (iFlows) using routing, splitting, gathering and other transformation patterns.
• Implement message mappings and data transformations for formats such as JSON, XML and CSV.
• Use scripting (e.g., Groovy) for complex transformation, enrichment, validation and conditional execution.
• Implement message persistence patterns to support idempotency, retries, correlation and resilience.
• Design and expose secure APIs through API management, and enable connector-based and event-driven integration.
• Build integration agents that generate initial iFlows and validate them against enterprise standards.
• Implement retrieval-grounded assistance, anomaly detection and predictive operations for integration and API behavior.
• Build automated integration testing and AI evaluation harnesses, and establish release gates.
• Set up monitoring, dashboards, alerts and traceability, and diagnose and resolve integration issues.
• Apply integration advisory practices and standardize integration patterns and best practices across teams.

What you'll need

• Minimum 5 years of experience.
• 15 years full-time education.
• 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 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.

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: Pune.
• Full-time role.
• Does not center on training or fine-tuning foundation models from scratch.