AI Full Stack Engineer
Singapore, SG, 117440
SAP
Explore market-leading software and technology from SAP. Become an intelligent, sustainable enterprise with the best in cloud, platform, and sustainability solutions – no matter your industry or size.We help the world run better
Our company culture is focused on helping our employees enable innovation by building breakthroughs together. 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. Apply now!
What you'll do
As a AI Full Stack Engineer, you will
- Be part of Global IT business technology team and work on large complex activities, using demonstrated creativity and expertise and applying specialist professional knowledge to deliver high quality results / technical solutions.
- Design, implement and test complex AI-empowered systems to solve business challenges.
- Be familiar with a broad range of AI and Machine Learning techniques and are competent in all aspects of the system including model architecture, pipeline automation, metrics interpretation.
- Validate machine learning use cases through proof-of-concepts with Large Language Models in tantum with SAP AI Business Technology Platform
- Work with SAP Business AI, Joule & SAP SuccessFactors product engineering teams to increase AI Adoption
- Guide other developers in the team to build best coding practices and reduce technical debt
- Explore for new AI and technology trends in-line with SAP’s overall Strategy direction
- Apply Software Development Life Cycle methodologies like Agile and participate in development life cycle activities like design, coding, testing and production release
What you bring
- Bachelor or Masters or PhD in computer science or related field
- Approximately 3 to 5 years of relevant experience in Software Engineering specializing in AI and Cloud Platforms, coupled with proven experience as an AI Developer or similar role. Suitable candidates with less than 3 years of relevant experience may be considered at a different level.
- Experience in AI, machine learning, or data science infused into Business Software Applications like SAP
- Experience in Prompt Engineering and RAG based architectures
- Good knowledge and exposure to LLM consumptions for application development
- Good knowledge of multiple front-end languages and libraries (e.g. SAPUI5, React, HTML/ CSS, JavaScript, XML, jQuery).
- Knowledge of programming languages like Python, Java or JavaScript, Node.js and databases such as RDBMS, Key-Value, Documents. Experience with SAP HANA is an added plus.
- Good understanding of REST APIs and their development
Meet your team
As part of the Workforce Solutions team, you will work on SAP product and solutions like SAP SuccessFactors HCM Suite, Business Technology Platform SaaS to bring SAP products to the next level by incorporating Artificial Intelligence and Process Automation into its existing portfolio, automating the HR processes with leading edge AI technology. Join our team and be at the forefront of transforming our HR practices through innovative digital solutions.
We build breakthroughs together
SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.
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: 391556 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Computer Science Engineering Java JavaScript LLMs Machine Learning Node.js PhD Prompt engineering Python RAG RDBMS React SDLC Testing XML
Perks/benefits: Career development Flex hours Team events
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