Frontend Software Engineer Position

17 hours ago


Copenhagen, Copenhagen, Denmark Raffle Full time

Raffle Copenhagen is a pioneering company that utilizes Artificial Intelligence (AI) to revolutionize corporate search tools. Our innovative AI-powered natural language search technology surpasses traditional keyword-based approaches like Elasticsearch or Solr. With Raffle, users can submit natural queries and receive relevant information promptly.

We integrate our platform with existing knowledge bases and provide seamless syncing of information and machine learning model retraining. This is enabled by our scalable microservice-based backend infrastructure, built using cutting-edge tools such as Go, Python, PostgreSQL, Redis, Docker, and Kubernetes.

The Role

We're seeking a Senior Frontend Engineer who will be part of our product development team. As a key member, you'll design, implement, and deliver frontend features while maintaining and improving existing services.

You'll collaborate with the backend team, data science team, and designers to ensure the delivery of well-tested, scalable, and performant code, getting state-of-the-art machine learning models into production.

Occasionally, you might need to interact with customers directly to assist them with the implementation of our products.

Your Responsibilities:
  • Develop high-quality frontend code based on feature documentation.
  • Respond to bugs and inquiries from clients effectively.
  • Maintain good communication and collaboration with different teams, including design, backend, and data science.
Requirements:
  • Prior experience with frontend development (React, Typescript, Node.js, Tailwind, CSS).
  • Familiarity with CI/CD pipelines.
  • Experience working with Github and other collaboration tools.
  • Understanding of API integration.
  • A passion for building great products.
Bonus Requirements:
  • Knowledge of RemixJS.
  • Experience with design systems.
  • Proficiency with frontend build tools.
  • Familiarity with agile environments.
  • Interest in Machine Learning.
Benefits:
  • Dynamic work environment with opportunities for growth and professional development.
  • Hybrid workplace with flexibility to work on-site and remotely.
  • Networking events and knowledge sharing opportunities.
  • Great coffee and lunch provided.
  • Friday Bars.
Essential Skills:
  • Desire to stay current with technology and best practices; willingness to learn.
  • Self-driven individual who thrives in autonomous work environments within teams.
  • Excellent written and verbal communication skills in English.
  • Ideal candidates have a degree in computer science, software engineering, or a related field.


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