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.

About SAP Labs Network and SAP Labs Vietnam:

SAP Labs Network is the global R&D setup where over 55,000 engineers around the world create, operate and support the most innovative enterprise solutions for SAP’s customers worldwide. SAP Labs Vietnam aims to become one of the key locations within the SAP Labs Network to support the engineering growth for SAP.

What you’ll build

• Develop LLM-powered applications and AI workflows

• Build agent-based solutions and tool-using agents

• Implement RAG pipelines using vector databases and external knowledge sources

• Integrate AI models into backend services and APIs

• Collaborate with engineers and compliance analysts to build AI-driven automation

• Monitor and improve AI system performance, reliability, and cost efficiency

• Contribute to internal AI tools and automation platforms

• All necessary compliance training will be provided for qualified candidates.

What you bring:

• B.S. degree in Computer Science, Engineering, Information Technology or equivalent

• 2–4 years of software engineering experience with exposure to AI/ML systems

• Strong programming skills in Python (Rust or other languages are a plus)

• Experience working with LLM frameworks (Lang Chain, Lang Graph, CrewAI, Auto Gen, or similar)

• Understanding of RAG pipelines and vector databases (PGvector, Pinecone, Weaviate, etc.)

• Experience integrating LLM APIs (OpenAI, Anthropic, or similar)

• Experience building backend services using FastAPI or similar frameworks

• Experience designing and integrating REST APIs

• Familiarity with Docker and modern development workflows

• Strong problem-solving and research skills

• Ability to collaborate with cross-functional teams

• Good written and spoken English communication skills

Nice to Have:

• Experience building AI-powered developer tools or internal platforms

• Familiarity with open source software and compliance topics

• Experience with vector search systems or knowledge retrieval platforms

• Exposure to cloud infrastructure or Kubernetes environments

• Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code

Where you belong:

SAP’s Global Technology Legal Compliance (GTLC) organization enables SAP engineering teams to build compliant and secure software by managing open source usage, intellectual property risks, and technology governance.

SAP is seeking an AI Solution Engineer to help build intelligent systems for our Technology Legal Compliance and Agentic Workforce platform. In this role, you will develop LLM-powered tools and agentic workflows that automate compliance analysis and support SAP’s global engineering teams. You will work closely with engineers and compliance experts to transform complex governance processes into scalable AI-driven solutions.

#SAPLabs Vietnam Careers

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: 445938 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: