Application Designer

Accenture India Private Limited

Chennai District

On-site

INR 1,200,000 - 1,600,000

Full time

4 days ago
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Job summary

Accenture India Private Limited in Chennai is seeking a Custom Software Engineer to design, build, and operate cloud-based SAP BTP applications. You will work across frontend (SAPUI5) and backend (Node.js) layers, implement data models, and ensure scalable, production-ready deployments.

The role emphasizes AI-native patterns, rapid prototyping, and robust DevOps with Agile/Scrum practices. A 5+ year track record in similar SAP BTP projects is required, with a focus on cloud-scale enterprise

Qualifications

  • Experience in SAP BTP app development across full stack.
  • Strong background in backend APIs, data models and UI integration.
  • Hands-on with Git-based workflows and Agile/Scrum.

Responsibilities

  • Cloud Application Engineering on SAP BTP: build, deploy, and manage apps in a cloud environment.
  • Full stack delivery: frontend and backend with SAP BTP patterns using Node.js and SAPUI5.
  • Design data models and connect apps to SAP HANA-based persistence.
  • Configure subaccounts, destinations, and deploy with multi-target application (MTA) style.
  • Implement AI native features: LLM integration, tool calls, retrieval, evaluation, and safe action boundaries.
  • Maintain quality and DevOps practices in an Agile setup.

Skills

SAP BTP
Node.js
SAPUI5
CI/CD
Agile/Scrum

Education

15 years education

Tools

SAP Business Application Studio
BTP tooling

Job description

Custom Software Engineer 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
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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 in 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

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