Full-Stack Software Engineer (m/f/d) in Berlin or Konstanz

As a Full-Stack Software Engineer in the AI team, you will be involved in designing and implementing cross-stack features within KNIME’s family of AI products, written in Go, TypeScript, Java, and Python. Applying your systems-first approach to thinking about your work and how it fits into the larger picture, together with strong familiarity with modern AI-powered products, you will help drive KNIME’s innovation in chat-based agentic experiences, as well as in AI-assisted and AI-driven data analytics.

• Own cross-stack features

• Drive and collaborate as part of cross-team efforts

• Design lean and clean APIs with both -ends in mind

• Build tasteful UIs

• Build lean and efficient backends that scale

• Proactively facilitate knowledge sharing and creation within and outside of the team

• Degree in Computer Science or related field

• Several years of professional software development experience

• Technical knowledge of microservice architectures

• High competence in FE development (Vue.js or similar)

• High competence in BE development and API design

• Systems-first mindset

• Passion for simplicity, maintainability, and collaboration

• Fluent in English

• A world-class agentic data analysis experience that is trusted by enterprises and beloved by users

• KNIME’s AI products are powered by a robust and scalable confluence of services

• Cross-stack features ship coherently because front-end and back-end are designed together

• AI features are tightly integrated into the existing KNIME ecosystem with a growing footprint, without ever compromising on usefulness, user experience, or value

• Build at the AI frontier: Help shape an agentic system used by thousands of data professionals and Fortune 500 companies worldwide.

• Ownership across the stack: Own features end to end across Go, TypeScript, Java, and Python, influencing architecture and direction.

• Craft & collaboration: Work alongside experienced engineers in a systems-first culture that values simplicity, maintainability, and clean design.

• Learning: Continuous growth through hands-on challenges, peer exchange, and exposure to cutting-edge AI and data analytics topics.

• Flexibility, health and wellbeing: Hybrid working, flexible hours, subsidised sports or yoga courses, physiotherapy, and flu shots at select locations.