Gavagai is a fast growing language technology company. We are looking for a front-end developer to lead the development of our web applications. This position requires that are located in Stockholm (no relocation).

The role:

  • Prototype solutions for new features and web applications using prototyping tools or sketches.
  • Demonstrate the user facing functionality using mockups and the prototypes and gather feedback for fast iterations.
  • Build great responsive interfaces with great UX and style.
  • Integrate the web apps with Gavagai’s own proprietary language technology APIs.
  • Use test frameworks for automated tests that enables one click promotions with confidence.


This position involves full stack web development but it is also end-to-end in terms of going from idea to finished implementation. Because of this full spectrum we require an applicant to be able to to structure and break down a full web interface into components that are testable, maintainable, and efficient. You must also be methodical, analytical and good at problem solving. You need to have experience from a modern javascript framework like Knockout, Angular, React, or Ember. We use Knockout. You also need to be good at prototyping, UX, wireframing, mocking etc. since the job involves all aspects of the development cycle.

Nämn gärna i din ansökan att du hittade jobbannonsen via Teknologjobben.

  • Annonsen har tyvärr löpt ut.
Dela annonsen
Gavagai is a Swedish language technology company spun off from the Swedish Institute of Computer Science. The team at SICS, which later became Gavagai, participated in the Real World Intelligence research program, in the 1990:s. We are pioneers in language AI and have developed our Word Space Technology for more than 20 years. Our research team has published more than 400 academic papers.

Extreme scalability, learning, automation and language agnosticism are some features of our technology, which is based on a neurologically plausible method that models meaning on-the-fly.

We have achieved state-of-the-art solutions to some of the major problems in the IT industry. We anticipate a transformative shift towards meaning-based data management and analysis.

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