6 дней назад
Fullstack Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fullstack Software Engineer (AI): Building and maintaining end-to-end features for KNIME’s AI and data science platform with an accent on Java backend logic, Vue-based user interfaces, and reliable software architecture. Focus on designing cross-stack functionality, integrating AI-assisted development tools, and ensuring quality through automated testing, peer reviews, and continuous delivery.
Location: Hybrid in Berlin or Konstanz, Germany
Company
develops an end-to-end AI and data science platform based on reliable and transparent workflows.
What you will do
- Build and maintain end-to-end features for users creating data workflows.
- Design and implement robust backend business logic for reliable application performance.
- Translate product requirements into intuitive and consistent user experiences with product managers and designers.
- Use AI-assisted coding tools responsibly while maintaining strict engineering standards.
- Improve code quality through automated testing, peer reviews, and continuous delivery pipelines.
- Track the use of AI agents in development and ensure appropriate oversight.
Requirements
- Degree in Computer Science or a related field.
- At least 5 years of professional software development experience.
- Strong frontend development skills with Vue, React, or a similar technology.
- Strong backend development skills with Java and modern Java frameworks.
- Experience contributing to software architecture, working in unfamiliar codebases, and applying full-stack development practices.
- Fluent English in verbal and written communication.
Nice to have
- Practical experience with Golang.
- Experience working with AI agents.
Culture & Benefits
- Hybrid working with flexible hours.
- Ownership across Java and TypeScript, with opportunities to influence architecture and product direction.
- Collaborative, transparent, low-ego environment involving engineering, architecture, QA, and UX.
- Continuous learning through peer exchange, soft-skill training, learning cafés, and hands-on AI and data analytics challenges.
- Subsidised sports or yoga courses, physiotherapy, and flu shots at select locations.
- Well-equipped offices with shared meals, fruit, and team celebrations.
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