Full-Stack Software Engineer (m/f/d) in Berlin or Konstanz at KNIME Inc.

Berlin, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

21 Sep, 26

Salary

0.0

Posted On

23 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Go, TypeScript, Java, Python, Vue.js, Microservice Architectures, API Design, Frontend Development, Backend Development, Systems Thinking, AI Product Development, Data Analytics

Industry

Description

Why join the talent pool Mission Join KNIME in developing a state-of-the-art agentic system that helps thousands of professionals around the world to answer their data questions via one of the most reliable and transparent computation frameworks - KNIME workflows. Role Overview 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. Responsibilities 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 Requirements 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 Leveling You will be a Software Engineer in the AI team, reporting to the team lead, with ample opportunity for career and personal growth with KNIME’s comprehensive levelling framework. What Success Looks Like 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 What we offer 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. About us KNIME is a leading AI platform that enables organisations to make sense of their data through intuitive, scalable, and collaborative data science. We empower data professionals and business users alike to build, deploy, and manage AI and data workflows that drive better decisions. Hundreds of global enterprises use the KNIME platform including Citi, Bosch and P&G. KNIME is an equal opportunity employer. We’re all about providing opportunities for different perspectives to come together, where everyone feels included no matter their background.

Responsibilities

Design and implement cross-stack features for AI-powered agentic systems and data analytics tools. Build scalable backends and intuitive user interfaces while collaborating across teams to ensure coherent feature shipping.