AI Full Stack Developer - SAP Labs East Asia Singapore
Compensation
Not disclosed
Location
Singapore, SG, 117440
Work setup
Not specified
Seniority
Not specified
Employment
Full time
Experience
2+ years
Category
Fullstack
Posted
Skills
accessibility
agentic-ai
ai
analytics
api
aws
azure
ci-cd
cloud
devops
docker
erp
gcp
graphql
infrastructure-as-code
kafka
kubernetes
langchain
llamaindex
llm
llmops
machine-learning
mlflow
observability
odata
postgresql
python
rdbms
react
sap
sap-s4hana
terraform
Must have
Professional Experience: At least 6 years of software engineering experience, with a track record of delivering end-to-end features or projects.
Education: Minimum Bachelor’s degree in Computer Science or a related technical field
Full description
We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
We are seeking a seasoned Full-stack Developer to lead a small, fast-moving team and drive the evolution of our AI architecture and supporting technology. This role requires deep hands-on technical capability, strong leadership, and the ability to bring SAP solution architecture expertise to integrate and scale AI-powered products across enterprise environments.
What you’ll build
Collaborate within a fast-moving team to stay on top of the latest advancements in AI, validate new approaches and spread learnings broadly.
Own full-stack development for AI-driven features and platforms (front-end, back-end, APIs, data layers, integrations).
Design and implement evaluation pipelines for AI systems. Define success metrics, experiment frameworks, and model monitoring.
Design scalable patterns to connect SAP landscapes with AI services.
Mentor and lead engineers. Establish high-quality code practices, peer reviews, and knowledge-sharing rituals.
Partner with product, data, and security teams to deliver reliable, compliant, and performant solutions.
Drive DevOps/LLMOps practices, including CI/CD, infrastructure as code, observability, and cost-aware scaling.
Document architectures, decisions, ensure maintainability and operational excellence.
What you bring: Required
Professional Experience: At least 6 years of software engineering experience, with a track record of delivering end-to-end features or projects.
Education: Minimum Bachelor’s degree in Computer Science or a related technical field
Core Technical Skills:
Strong proficiency in Python for back-end development.
Experience with Full-Stack development, including React and REST/GraphQL APIs.
Solid understanding of relational databases (e.g., Postgres).
AI/ML Foundation: At least 2 years of experience working with ML or LLM solutions, including moving prototypes toward production.
Cloud & DevOps: Hands-on experience with Docker, Kubernetes, and working within a major cloud environment (AWS, Azure, or GCP).
Ownership: Proven ability to take responsibility for project modules and deliver results within a team setting.
Collaboration: Strong ability to work cross-functionally with product managers, data scientists, and other engineering teams.
Optional
Advanced AI Expertise: Practical experience with RAG, AI Agents, and frameworks like LangChain or LlamaIndex.
AI Operations: Familiarity with AI evaluation and experiment management tools such as MLflow or Weights & Biases.
SAP Integration: Knowledge of SAP S/4HANA, BTP (Kyma), or integration protocols like OData, RFC, or CPI.
Advanced Infrastructure: Familiarity with Kafka for event streaming and Infrastructure as Code tools like Terraform.
Where you belong:
SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network and is the newest innovation hub at SAP that drives product leadership, fosters the best talent, and aims to boost ecosystem and community engagement with a variety of initiatives.
SAP Labs Singapore has the ambition to expand significantly and become the Embedded Artificial Hub for SAP, leveraging on core competencies in the current teams. It provides an open, modern working environment and the opportunity to become part of the global SAP engineering community.
Artificial Intelligence team as part of SAP Labs Singapore has experienced professionals taking on challenges posed by the SAP customers. Based in Singapore, you will have the opportunity to work on breakthrough projects addressing real-world problems, challenging norms with some of the SAP’s key customers. As part of the global product engineering team, you will participate in rich and engaging conversations with experts around the globe.
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 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 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.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), 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.
Requisition ID: 437928 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid #SGLABSHIRING