Custom Software Engineer

Custom Software Engineer

Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills: SAP BTP Application Development

Minimum 3 year(s) of experience is required. Educational Qualification: 15 years full time education.

Build AI native enterprise applications on SAP Business Technology Platform (SAP BTP) by combining strong platform engineering (admin + solution design + full stack build) with agentic AI application patterns (LLMs + tools + retrieval + evaluation). This role is about building, deploying, and operating cloud applications on SAP BTP, and evolving them into intelligent systems through rapid prototyping and production hardening.

Core Responsibilities:

• Cloud Application Engineering on SAP BTP Build, deploy, and manage applications in a cloud-based environment on SAP BTP, covering platform fundamentals, administration touchpoints, solution design, and both frontend and backend development.
• Full Stack Delivery (Frontend + Backend) with SAP BTP Patterns Develop backend services and APIs (including CRUD + business logic + validations) using Node.js-based service patterns, and expose services for frontend consumption. Build responsive UI components using SAPUI5 (XML views, controllers, MVC approach) and integrate with backend APIs for data display and write-back flows.
• Data Modeling & Persistence Foundations Design database artifacts and data models (tables/views/entities/relationships) and connect applications to SAP HANA-based persistence patterns used in BTP app development scenarios.
• Platform Setup & Deployment Engineering Configure subaccounts/service instances/roles and set up development spaces configure connectivity artifacts (e.g., destinations) for integrating external APIs and databases as part of application delivery. Package and deploy applications using multi-target application (MTA) style deployment artifacts where applicable.
• AI Native Application Patterns (Agentic + LLM Integrated) (Build expectation) Implement LLM-integrated features as part of BTP applications (e.g., assistant in the workflow ), including: tool calling, orchestration, memory/state handling, and safe action boundaries. Build retrieval-grounded experiences (RAG-style) over enterprise content and APIs where the solution requires grounded responses, with clear fallback behaviors. Create evaluation loops (offline test sets + online monitoring) so AI behavior changes are measurable and regressions are caught early.
• Engineering Excellence (Quality, DevOps, Collaboration) Use Git-based workflows for source control and collaboration, and operate in Agile/Scrum delivery models. Debug and resolve backend/database/service exposure issues encountered during full-stack delivery.

Primary Skills (AI Native Must Have) SAP BTP application development fundamentals spanning platform architecture, administration basics, solution design, and frontend/backend build. Hands-on full-stack implementation patterns evidenced by: backend services + APIs + data models + UI integration. Strong software engineering fundamentals (clean code, testing mindset, CI/CD orientation) and ability to move from prototype to production (AI native expectation).

Secondary / Strongly Beneficial Skills Practical exposure to common BTP app-dev tooling and patterns used in delivery environments (e.g., SAP Business Application Studio usage in full-stack build contexts). Familiarity with structured learning paths such as BTP Application Development (training listing) and bootcamp-style enablement. Awareness of platform building blocks and guidelines referenced in community materials like SAP BTP Developer s Guide.

Value Delivered Rapid delivery of cloud applications on SAP BTP with full-stack rigor (platform + backend + UI + deployment). Higher-impact solutions by embedding agentic AI capabilities into business workflows while maintaining engineering discipline and operational reliability (AI native expectation).

Additional Information A 15 years full time education is required.