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 UI5 Development
Minimum 3 year(s) of experience is required. Educational Qualification: 15 years full time education.
Build AI native, enterprise-grade user experiences using SAPUI5 (and the broader SAP Fiori paradigm), combining deep front end engineering skills with agentic AI patterns (LLM-integrated UX, tool-augmented interactions, and evaluation loops). The focus is to move beyond forms and screens into intelligent, guided, and adaptive SAP experiences that help users complete business tasks faster—while maintaining performance, accessibility, security, and reliability at enterprise scale.
Core Responsibilities:
Primary Skills (AI Native Must Have): Strong hands-on expertise in SAP UI5 / SAPUI5 development and enterprise UI engineering fundamentals. Mastery of MVC architecture, responsive UI construction, and component-driven development in SAP UI5 contexts. Solid implementation experience with OData and service mocking approaches for development/test workflows. Strong front-end foundations: JavaScript + JSON + CSS, with Git-based collaboration. AI-native build capability: designing UX that integrates LLM behaviors with grounding, tool use, and evaluation loops (owned by the role).
Secondary / Strongly Beneficial Skills: SAP Fiori design paradigm familiarity and ability to translate UX principles into scalable UI solutions. Testing depth for SAPUI5 applications using the testing approaches referenced in learning assets. Understanding of SAPUI5 vs OpenUI5 positioning and implications for enterprise delivery.
Value Delivered: Enterprise SAP applications with modern, responsive SAPUI5 interfaces aligned to SAP Fiori UX expectations. Faster user outcomes through AI-native in-flow guidance and agentic task completion patterns (grounded, safe, and measurable). Higher reliability via disciplined testing practices for UI components and acceptance flows.