Senior Fullstack Developer - BTP AI Team

Bengaluru, IN, 560066

Apply now Apply later

 We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

MEET YOUR TEAM

SAP's Business Technology Platform is shaping the future of enterprise software, creating the ability to extend and personalize SAP applications, integrate, and connect entire landscapes, and empower business users to integrate processes and experiences.

The BTP AI team is part of the T&I board area and part BTP foundation which also hosts a range of cross units for BTP. Our team aims to be on top of the latest advancements in AI and how we apply these to increase the platform value for our customers and partners. It is a multi-disciplinary team of data engineers, engagement leads, development architects and developers that aims to support and deliver AI cases in the context of BTP.


WHAT YOU'LL DO

We are looking for a Senior/ Expert Full-Stack Developer with a passion for innovative cloud platform topics and the field of Generative Artificial Intelligence (GenAI).

GenAI has emerged as a transformative force in society, and has the ability of creating, mimicking, and innovating a wide range of domains. This has implications for enterprise software and ultimately SAP.


This role brings a unique opportunity to participate in shaping and delivering the future of GenAI capabilities across our Business Technology Platform (BTP) and requires a self-directed team player with deep coding knowledge and business acumen.


Join our international multi-disciplinary AI team, where you will be working closely with Architects, Data Engineers, UX designers and many others. You'll be immersed in an environment that fosters innovation, with plentiful opportunities for personal growth and continuous learning.


Your responsibility as a (Senior) Full Stack Developer is to:

  • Design and build stable and scalable AI based solutions, PoCs and first versions of new products & features. Make critical design decisions selecting underlying technologies.
  • Iterate rapidly experimenting with GenAI, developing both front and backend components.
  • Work alongside colleagues in a cross-functional team to develop and deliver modular, reusable components, ensuring they can be seamlessly integrated across a diverse array of cloud technology environments.
  • Explore and assess new technologies in the field of generative AI, Large Language Models (LLMs), AI-augmented development, tools, and infrastructure to evolve existing highly used functionalities and services in the cloud.
  • Design, maintain, and optimize the framework for collecting, processing, transforming, and granting access to data for GenAI applications.


WHAT YOU BRING

  • Master’s degree in computer science, or related field with 7+ years professional experience in Software Development.
  • Strong experience building resilient distributed systems with relevant cloud technologies such as Kubernetes, BTP, AWS/Azure/GCP.
  • Proficiency in modern programming languages and concepts (e.g. Go, TypeScript). Skilled with at least one strongly typed language. Experience developing both backend and frontend components.
  • Experience with state-of-the-art software engineering methodologies, e.g., Test Driven Development, Domain Driven Design, continuous integration, DevOps.
  • Ability to keep pace with GenAI technology shifts and solve problems creatively within a diverse team with different expertise backgrounds and perspectives.
  • Familiarity with data-centric languages (Python), SQL databases (e.g., SAP HANA Cloud, PostgreSQL), and data modelling.
  • Excellent communication skills with fluency in written and spoken English and German

 

TECH YOU BRING

SAP BTP, Cloud Foundry/Kyma, Docker, Cloud-Native Development, TypeScript, SAP CAP, UI5, React, Jenkins, Git, GitOps, DevOps, Python.

 

TECH YOU'LL LEARN

LLMs, Retrieval Augmented Generation, SAP AI Core and GenAI Hub, Vector Engines, LangChain, AI Agents and anything relevant that will come up in the field of GenAI.

It may appear challenging to combine all these qualities, but we are confident that the right candidate, equipped with strong intrinsic motivation and a good match with our team culture, can rapidly acquire the necessary technical skills. If you are eager to rapidly expand your abilities, gain knowledge, and contribute to one of the most innovative areas today, we encourage you to reach out to us.

 

 

​Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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 to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com
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.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 399031  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  12  0  0

Tags: AWS Azure Computer Science DevOps Distributed Systems Docker Engineering GCP Generative AI Git Jenkins Kubernetes LangChain LLMs PostgreSQL Python React SQL TypeScript UX

Perks/benefits: Career development Flex hours

Region: Asia/Pacific
Country: India

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.