Senior Software Engineer (f/m/d) - AI/Data
Bonn, Munich, Dresden, Berlin, Walldorf, Germany
SAP LeanIX
Discover, Analyze, Secure, and Transform your IT Landscape with LeanIX Enterprise Architecture. An Easy Way to Drive Strategic Decisions.We are incepting a new product team at SAP LeanIX to provide Architecture Guidance to our customers. Using modern state-of-the-art AI-powered data analytics, the team will aggregate and utilize the data from our catalog and from workspaces across our customer base to derive insights that unlock actionable advice to guide architecture transformation.
We are looking for a motivated Senior Software Engineer - AI/Data to join us on our journey to grow and achieve our goals. You are the perfect candidate if you are passionate about delivering customer value, technical excellence, and working collaboratively as part of a diverse team. The position is mainly focused on AI engineering and data engineering topics.
With AI at the core of what we do, we build solutions that are fast, smart, and easy to use. These AI-powered solutions turn raw data into engaging, meaningful and actionable insights to guide our customer on there Enterprise Architecture journey, both in a practical but also in a first of it’s kind way.
At SAP LeanIX Product and Engineering, we embrace a hybrid remote work model, which allows us the benefits of in-person collaboration along with the flexibility to work from home as needed. Therefore, we hire only within commuting distance to our hubs in Bonn, Berlin, Dresden, Walldorf and Munich, and we expect our employees to come to the office multiple times per week.
Why Join Us?
- Stable & Accelerated Growth: As part of SAP, we’re on a strong growth trajectory, ensuring a stable future while accelerating innovations.
- Industry-Leading Products: Our solutions boast a stellar NPS of 65+, empowering product teams to solve real problems through deep customer collaboration.
- Full Ownership: We embrace a “build it, run it” philosophy, ensuring resilient, high-performing products with automated systems and SRE practices.
- Continuous Improvement & Collaboration: We foster a culture of knowledge sharing, iterative engineering practices, and teamwork, ensuring long-term success and fun at work.
- Growth & Development: With transparent leadership access and ample career growth opportunities, many of our engineers have advanced to managerial or technical lead roles.
- Work-Life Balance: We offer flexible hybrid work, allowing you to balance professional and personal life while collaborating with your team.
What Awaits You?
- Use state of the art GenAI models and techniques to solve real world problems, which was hard to solve before.
- Work with Data at Scale: Leverage Databricks and Python to build robust data pipelines and analytics workflows that power AI-driven insights. Help shape the data foundation that enables intelligent architecture guidance.
- Focus on Performance: Build scalable, responsive, and accessible solutions to ensure smooth user experiences and backend efficiency.
- Collaborate with Teams: Work closely with cross-functional teams, including Product Management, UI/UX, and other engineering teams, to deliver impactful, customer-centric solutions.
- Enhance Our Tech Stack: Participate in discussions on industry trends and support the evolution of our tech stack and best practices.
- Learn & Share: Grow your skills by collaborating with teammates and contributing to a culture of continuous learning and improvement.
Want to know more?
Check out our Tech Stack and explore our Engineering Blog for insights!
Who Are We Looking For?
We’re seeking a Senior Software Engineer -AI/Data who brings technical expertise, a deep understanding of AI/LLMs, Data Engineering, and a collaborative mindset to build robust, innovative, and impactful backend systems.
Key Qualifications
- 4+ years of professional software engineering experience, preferable in backend development
- Experience in building business application using modern Generative AI, a plus would be even some first experience building AI Agents.
- Advanced expertise in Python, with a strong background in developing and deploying LLM applications and AI-powered systems.
- A practical experience in Data Engineering would be a plus, ideally using Databricks.
- Proficiency with RESTful APIs and GraphQL, designing data flow solutions at scale.
- Strive in agile environments, driving high-impact projects to completion while maintaining a focus on delivering high-quality, scalable code.
- Demonstrates strong collaboration, working seamlessly across teams and ensuring clear communication to achieve business and technical goals.
Bonus Points
- Familiarity with machine learning frameworks (e.g., Promptflow, TensorFlow, PyTorch) and integrating AI/ML models into production systems.
- Experience with LLM fine-tuning and deploying custom AI models at scale.
- Hands-on experience with Docker, Kubernetes, and setting up GitHub CI/CD pipelines.
- Familiarity with Azure, or other cloud platforms for deploying and managing scalable backend applications.
SAP LeanIX is a market leader for enterprise architecture management (EAM), driving the modernization of IT landscapes and continuous business transformation. Its software-as-a-service solutions empower organizations to create transparency, enabling them to visualize, assess and manage the transition towards their target IT architecture. By offering a data-driven and automated approach enhanced with AI, SAP LeanIX helps organizations make sound decisions and collaborate more effectively. SAP LeanIX serves over 1.400 companies globally across various industries, including more than 10% of the Fortune 500 and half of the German DAX 40. Headquartered in Bonn, and offices in Munich and Berlin (Germany), SAP LeanIX also has a strong international presence with offices in Boston (USA), London (UK), Paris (France), Amsterdam (Netherlands), and Ljubljana (Slovenia). In November 2023, LeanIX became part of SAP. For more information, visit www.leanix.net. Your application information might be therefore shared across both SAP and SAP LeanIX recruiting and hiring teams.
SAP LeanIX is not just a product, in fact it‘s a great place to work. Colleagues (700+) from dozens of countries jointly make our vision reality. We believe in transparent communication, personal development, diverse workforce, innovation by creating ideas that prove useful and that our world-class team deserves the best software stack money can buy.
At SAP LeanIX we have a Hybrid Work Mode which means you work remotely from your home office and work from one of our offices. SAP LeanIX teams and team members decide together on the work mode which suits them best. Next to that, we have great benefits for you, CHECK OUT HERE WHAT IS IN FOR YOU!
Please check our Applicant Privacy Notice available here for more information about how we process your personal data. If you have any questions or concerns about privacy or want to exercise any of your data privacy rights, please send an email to dataprivacy@leanix.net.
SAP LeanIX is committed to being an equal opportunity employer. Diversity is vital to driving the growth and success of our company. If you need an equitable interview process alternative, please let our team know at jobs@leanix.net. You will be treated with the utmost respect and confidentiality.
All applicants will receive consideration for employment based on experience, qualifications, and competencies. SAP LeanIX will not discriminate based on race, color, religion, belief, political affiliation, union membership, age, sex, pregnancy, sexual orientation, gender identity, national or ethnic origin, genetic information, creed, citizenship, disability, protected veteran or marital status, or any other status protected by applicable laws or regulations.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Azure CI/CD Data Analytics Databricks Data pipelines Docker Engineering Generative AI GitHub GraphQL Kubernetes LLMs Machine Learning ML models .NET Pipelines Privacy Python PyTorch TensorFlow UX
Perks/benefits: Career development Flex hours Startup environment Transparency
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