Cloud Developer - Gen AI Assistant Development

SAP; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

SAP SE in Bengaluru seeks a cloud developer to design, code, test, and assure quality for SAP product features. You will take end-to-end ownership of Generative AI Digital Assistant features, from design through deployment, ensuring scalable, reliable AI capabilities.

Join a collaborative ISD Hub team, work with Data Scientists and Architects, and leverage SAP BTP/CAP in a cloud-native environment to deliver cross-functional AI-driven applications.

Qualifications

• Proficient in Java and Spring Boot for microservices in cloud-native setups.
• Experience with Retrieval-Augmented Generation (RAG) and LLM service integration.
• Familiar with SAP BTP and CAP framework, and UI6-based UI technologies.
• Experience with CI/CD, observability, and cloud deployment workflows.
• Degree in Computer Science/Engineering or equivalent experience.

Responsibilities

• Design, code, test, and assure quality for SAP product features.
• Own end-to-end Generative AI Digital Assistant features from design to deployment.
• Collaborate with Data Scientists and Software Architects on intelligent capabilities.
• Build and maintain CI/CD pipelines and monitoring for AI-enabled apps.
• Ensure scalability, reliability, and performance across production environments.

Skills

Java

Spring Boot

RAG

LLM integration

UI5/Fiori/React

CI/CD

Cloud deployment

Full-stack ownership

Cloud-native

Education

BS/BE in CS or Eng

Tools

SAP BTP

CAP

Job description

Job Description:

Company Description

Join a global development team where collaboration and innovation drive success. You'll benefit from coaching, agile practices, and SAP's inclusive growth culture.

Job Description

You'll design, code, test, and assure quality for SAP product features. You'll analyze issues, implement solutions, and contribute to continuous improvements in architecture and processes.

What you'll bring

You're a cloud developer with experience building AI-enabled microservices in cloud-native environments. You take full-stack ownership from design through to deployment.

• Strong proficiency in Java and Spring Boot for building microservices in cloud-native architectures.
• Hands-on experience with Retrieval-Augmented Generation (RAG), prompt engineering, and integrating Large Language Model (LLM) services into applications.
• Experience with SAP Business Technology Platform (BTP) and the SAP Cloud Application Programming Model (CAP).
• Proficiency with UI technologies — SAP UI5, Fiori, or React — for full-stack feature delivery.
• Solid grounding in CI/CD tools, observability practices, and cloud deployment workflows.
• A degree in Computer Science, Engineering, or a related field, or equivalent experience.

We also look for people who build trust naturally, communicate with clarity, keep the customer at the centre of what they do, and bring emotional intelligence and genuine problem-solving ability to the challenges they face.

In addition to the skills and experience specific to this role, all positions at SAP require candidates who are comfortable using AI tools — including agentic AI — in their day-to-day work, from crafting effective inputs and automating routine tasks, to evaluating AI-generated outputs for quality and driving adoption of AI practices within their teams.

What you'll build

You'll take end-to-end ownership of Generative AI Digital Assistant features — from design and development through to deployment and support.

• Develop and maintain Generative AI Digital Assistants using LLMs, AI APIs, and RAG pipelines.
• Collaborate with Data Scientists and Software Architects to design and implement intelligent assistant capabilities.
• Build and maintain CI/CD pipelines and automated monitoring for digital assistant applications.
• Integrate digital assistants with cloud platforms and embed AI capabilities into cross-functional team applications.
• Ensure scalability, reliability, and performance of assistant systems across production environments.
• Track developments in AI, LLMs, and cloud-native development to improve the product continuously.

Where you belong

The Intelligent Service Delivery (ISD) Hub team builds AI-powered tools that transform how SAP delivers services. You'll work alongside Data Scientists, Engineers, and Architects in a collaborative, cross-functional engineering environment. This role is based at SAP Labs India, Whitefield — one of SAP's largest and most active development hubs globally.

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

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Additional Information

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.
We win with inclusion
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone, regardless of background, feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or complete your application, please send an email with your request to the Recruiting Operations Team: .
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.

Qualifications

strong analytical thinking, statistical modeling skills, and comfort with ML techniques such as time series forecasting, recommendation, and optimization. Proficiency with experimentation, feature engineering, and model deployment will set you up for success.