招聘
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 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.
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. Apply now and be part of shaping the future.
What You’ll Do:
Do you thrive in collaborative environments and enjoy building tools that empower others? Are you passionate about data, AI and new technologies?
Join us as a Senior Phython Developer/ AI Engineer in the Customer Engagement Tools (CET) organization.
We are looking for a highly skilled Senior Python Developer with strong experience in Generative AI to design, develop, and deploy AI-powered applications and intelligent systems. You will play a key role in building scalable backend services, integrating large language models (LLMs), and translating business use cases into production-ready AI solutions.
This role combines deep Python engineering expertise with hands-on experience in modern AI frameworks and GenAI technologies.
Key responsibilities are
Design and develop scalable backend systems and APIs using Python
Build and deploy Generative AI solutions leveraging LLMs and related tooling
Agentic framework
Integrate foundation models (OpenAI, open-source LLMs, etc.) into enterprise applications
Implement prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning workflows
Develop data pipelines for AI model training and inference
Optimize model performance, latency, and cost efficiency
Collaborate with product managers, data scientists, and DevOps teams
Ensure production-grade reliability, monitoring, and security of AI services
Stay current with advancements in AI, ML, and LLM ecosystems
Continuously develop AI engineering expertise by learning new skills and applying them to improve solutions, tooling, and operational practices
Security
Documentation
What You Bring:
Bachelor's or master's degree in machine learning, computer science, engineering, or related technical fields
3-5 years of professional Python development experience
1-2 years working with AI/ML systems, preferably including Generative AI
Strong experience with Python frameworks (FastAPI, Flask, Django)
Hands-on experience with LLMs and APIs (e.g., OpenAI, Anthropic, open-source models)
Experience with Lang Chain, Llama Index, or similar orchestration frameworks
Solid understanding of embeddings, vector databases (e.g., Pinecone, Weaviate, FAISS)
Experience with cloud platforms (AWS, Azure, or GCP)
Knowledge of containerization (Docker) and CI/CD pipelines
Vast general software engineering best-practices (e.g. Object-Oriented Programming) and experience working in a scrum-like software engineering unit.
Fluent English and Ability to operate in fast-moving environments
Collaborative, problem-solving and innovation mindset
Understanding of Agile/SAFe methodologies
Nice to have but not a must:
Knowledge of Distributed Computing Systems for Big Data Engineering such as Databricks (PySpark/Scala)
Hands-on experience with genAI / agenticAI frameworks such as crewAI, langgraph, etc.
Expertise in code-based LLM consumption from platforms like Open
AI or Huggingface:
Curiosity to explore different AI applications and emerging technologies
Experience with SAP AI offerings such as AI Core, AI Business Services, Joule
Meet Your Team
The team is part of CPIT (Corporate Processes & IT) and focuses primarily on internal solutions that support customer-facing roles across the company. We combine a strong technical foundation with a passion for building reliable and intelligent applications, including solutions powered by AI.
We’re a highly diverse and cross-functional team that actively embraces new technologies to bring real improvements to the end-user experience. At the same time, we aim for rock-solid operations, which is why we invest heavily in automated tests to ensure smooth and reliable releases to production.
We work in an Agile/Scrum setup, collaborating closely across locations.
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: 450727 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
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关于SAP

SAP
PublicThe best-run businesses run SAP.
10,001+
员工数
Walldorf
总部位置
$157B
企业估值
评价
3.9
10条评价
工作生活平衡
3.2
薪酬
3.5
企业文化
4.1
职业发展
3.4
管理层
3.3
72%
推荐给朋友
优点
Good benefits and retirement plans
Training and development opportunities
Supportive team collaboration
缺点
Work-life balance challenges
High workload and stress during peak times
Limited career advancement opportunities
薪资范围
2个数据点
L3
L4
L5
Intern
L3 ·
0份报告
-
年薪总额
基本工资
-
股票
-
奖金
-
面试经验
5次面试
难度
4.0
/ 5
时长
14-28周
体验
正面 0%
中性 40%
负面 60%
面试流程
1
Application Review
2
HR/Recruiter Screen
3
Phone/Technical Screen
4
Hiring Manager Interview
5
Onsite/Panel Interview
6
Technical Assessment
常见问题
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
SAP-Specific Technical Skills
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