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6 дней назад

Fullstack Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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