Senior Software Engineer (f/m/d) - Data/AI

LeanIX Jobs; Bonn; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology company is seeking a passionate Senior Software Engineer specializing in AI/Data to join their new product team in Bonn. This role focuses on leveraging AI technologies and data analytics to deliver innovative solutions for enterprise architecture. With a hybrid remote model, you'll work collaboratively on exciting projects while enjoying a healthy work-life balance and ample growth opportunities.

Leistungen

Flexible hybrid work

Career growth opportunities

Stable and accelerated growth

Strong innovation culture

Life balance initiatives

Qualifikationen

• 4+ years of professional software engineering experience, preferably in backend development.
• Experience in building business applications using modern Generative AI is a plus.
• Advanced expertise in Python with a strong background in developing AI-powered systems.

Aufgaben

• Leverage Databricks and Python to build robust data pipelines and analytics workflows.
• Collaborate with cross-functional teams to deliver impactful, customer-centric solutions.
• Build scalable, responsive, and accessible solutions to ensure smooth user experiences.

Kenntnisse

Python

Data Engineering

Generative AI

Collaboration

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Databricks

Docker

Kubernetes

Jobbeschreibung

Senior Software Engineer (f/m/d) - AI/Data

Bonn, Germany

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 andSREpractices.
• 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, includingProduct 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.

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.

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