At raffle.ai we want to create a world leading virtual assistant for corporates. In general employees misspend 20% of their day searching for internal knowledge, whether it be in documents, emails or other internal information sources. Our goal is to reduce this time by 80%. We are venture backed and have prominent experts and business people on the management and board level. We have very high ambitions and collaborate closely with both DTU and Microsoft to generate state-of-the-art products.

About raffle.ai

At raffle.ai we want to create a world leading virtual assistant for corporates. 

In general employees misspend 20% of their working day searching for internal knowledge, whether it be in documents, emails or other internal information sources. Our goal is to reduce this time by 80%, by answering the employees questions using Deep Learning models and thus generate a shortcut to all company knowledge.

We are venture backed and have prominent experts and business people on the management and board level. We have very high ambitions and work closely together with both DTU and Microsoft to generate state-of-the-art products. We believe strongly in the Open-Source community and are planning on Open-Sourcing a big part of our own software.

About You

You are passionate, organised and self-driven, with great teamwork skills and a problem-solving attitude. You have a devotion for great software and software craftsmanship. You have an entrepreneurial spirit, and an enthusiasm for keeping yourself up to date on current topics within your field.

The Role

• You will in collaboration with the team, take charge of designs, maintenance, and optimisation of our client-facing APIs, while considering the user experience.
• You will have the responsibility for planning/creating/improving a scalable and stable cloud infrastructure
• You will have ownership of core aspects of our end-product and will have to make strategic technical decisions.
• You will work alongside our Data Scientists to best utilise state-of-the-art machine learning models in a distributed environment

The tools we use

We first and foremost a Python company, with all our main services/ML models written in Python. Recently we have begun rewriting some of the components in Cython and expect to continue along these lines. We use several different kinds of Databases such as Postgres, CosmosDB etc. We are strongly focused on microservices and containerisation and pipe the services together primarily using Flask.

Required Competences

• A deep knowledge of Python
• A great understanding of containerisation and Docker/Kubernetes
• Working experience building intuitive API’s 
• Working experience with at least one cloud provider (preferably Azure)
• Experience with microservice architectures

Competences that will benefit your application

• Building extendable Chatbot architectures
• Experience building web crawlers 
• Experience with text retrieval and Elastic Search
• Machine Learning and/or Deep Learning
• Data visualisation experience 
• Working experiences with timeseries data
• Experience with functional programming