Overview

We are looking for a frontend engineer to work with our team that is developing and supporting cutting-edge AI products for manufacturing, logistics and finance industries. You will work with scaling the products and implementing new features.

YOUR WORK WILL INCLUDE:

  • Sharing ownership of the frontend
  • Developing new & exciting features in close collaboration with our clients
  • Effectively communicating functional dependencies to producers and clients

WHAT WE EXPECT FROM YOU:

  • Good knowledge of modern front-end & back-end development (our web stack includes React, Node.js, Typescript, Kafka and PostgreSQL)
  • Good knowledge of relational databases (our web stack includes React, Node.js, Typescript, Kafka and PostgreSQL)
  • Experience with multiple languages and programming paradigms
  • Fluent written and spoken English
  • Being able to work independently

WHAT WILL YOU GET:

  • You will be part of a team with in-depth knowledge of data analytics, machine learning, and artificial intelligence and work on cutting-edge applications of these technologies
  • You will work independently and will always have a chance to improve your knowledge and experiences with attendance of leading software engineering and other conferences
  • Full-time employment
  • Flexible working hours
  • Competitive salary, tailored to your level of responsibility
  • A positive, balanced work life

To apply for this job email your details to [email protected]

About Qlector

Qlector is developing artificial intelligence based solutions for manufacturing, logistics and other industries powered by Qlector AI platform. We are a team of machine learning experts with long experience in bringing cutting-edge technology into practice.

We have strong links with the research community, in particular Artificial Intelligence Laboratory at Jozef Stefan Institute. Several team members pursue active research and help with mentoring of PhD students working on novel methods from different areas of artificial intelligence. Our team members published original research from the areas of machine learning, data mining, text mining, information retrieval, network analysis and semantic web.