at GRAKN.AI in London
(₤35000 - ₤55000 per year)
Cognitive/Intelligent Systems consume data that are too complex for current databases to handle. GRAKN.AI is a hyper-relational database that allows you to perform knowledge engineering to manage this complexity. Through Knowledge Representation and Automated Reasoning techniques, Grakn provides the knowledge base foundation for these systems.
Our team has big ambitions, and our competitions are fierce: MongoDB, MySQL, Oracle, Neo4j, and so on. However, none them handles complexity like we do. Grakn provides the logical integrity of SQL, the scale of relationships of Graph DBs, with the horizontal scalability of NoSQL.
We’ve come a long since we started in 2015, and we’ve been awarded Product of the Year 2017 by the University of Cambridge Computer Lab Ring, joining the ranks of companies like SwiftKey and Google DeepMind.
We’re a team of talented engineers from world leading universities, and we’re based in London. We’ve developed a distributed knowledge base that reasons over complex data in real-time and derives knowledge that is too complex for human cognition to uncover. Five years from now, we believe Grakn will be in the hands of every developer as a de facto database for building cognitive and intelligent systems.
As a Web Engineer, you will be developing the web platforms of our advanced graph analysis visualisation dashboard, Grakn Workbase (a knowledge IDE), Grakn Academy, Developer Platform, Community Discussion Forum, and all other web platforms in the company. At Grakn, we believe that the best web platform is the key to providing an excellent user experience for our community. You will work closely with the CEO and a graphic designer and will be responsible for the UI/UX research, requirements analysis, planning, web development, testing and delivery of all web components within GRAKN.AI.
- Academic background from a world-leading university
- Minimum Bachelors (2:1) from a computing field
- An aptitude for data visualisation
- API development
- Web application portfolio
- Systems architecture design
- Strong algorithmic skills
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