Project Role : Custom Software Engineer

Project Role Description : 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

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

AI Powered Tech Talent 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 .

What This Role Does Not Center On

Not limited to AI-assisted development only this role owns AI behavior in the product (orchestration, grounding, evaluation, safety boundaries) as part of delivery (AI native expectation).

Not focused on training foundation models from scratch emphasis is on building agentic applications integrated with enterprise services.

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