Working at enliteAI

Open Positions

Machine Learning Engineer

Apply cutting edge research in artificial intelligence and machine learning applications.
Essential Skills
  • Experience with one or more programming languages: Python, Java, C/C++, modern JavaScript, C#
  • Specialization in the field of data science and machine learning: Work experience, academic background or portfolio projects.
  • € 35.000 - € 55.000 annually (full-time)

Senior Software Engineer

Design, build, test and deploy a broad range of systems from prototypes to production systems.
Essential Skills
  • 3 years of work experience in data-driven environments
  • Hands-on programming skills in at least two programming languages, from high level architecture to low level optimization
  • Ability to learn and apply new technologies quickly
  • € 45.000 - € 55.000 annually (full-time)

Junior Software Engineer

Develop your software craftsmanship on a range of demanding projects as a key member of our team.
Essential Skills
  • Knowledge of one or more programming languages: Python, Java, C/C++, modern JavaScript, C#
  • References of activity in (smaller) software development projects, e.g. open source contributions, freelance work or personal interests.
  • Good knowledge of computer science fundamentals and analytical skills.
  • € 35.000 - € 40.000 annually (full-time)

Our Technology Stack

Deep Learning

Modern deep learning frameworks drastically reduce the engineering effort necessary to train and execute neural network models at scale. We work with a variety of technologies: TensorFlow, Theano, Pytorch and Dynet.

Machine Learning

Python provides a sea of useful tools and libraries. We take advantage of the Python ecosystem in most of our machine learning and data science related work.


NodeJS is the technology of choice for web application backend systems.

Crawling System

The core of our large-scale crawling system is written in Java, which strikes a good balance between development effectiveness and performance.


We store and process petabytes of data. The distributed database system Apache Cassandra helps us to ensure linear scalability.


Most of our infrastructure is powered by the Google Cloud Platform and container technology.