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EruditeAI

Software Engineer at EruditeAI

Montreal · Full Time

A chance to be involved on a game changing project right from the start.
Educational technologies provides not only potentially high growth and profits, but also fulfill any philanthropic aspiration you may have.

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Job Description

Erudite Science develops artificially intelligent messaging bots for mathematics tutoring. Pupil is an open source peer-to-peer tutoring platform that integrates our AI tutoring technologies.

We are looking for a stellar software engineer with a mix of DevOps, Backend and Frontend skills to build our architecture and web-based products.

Pupil is currently under development using MongoDB, Javascript, Node.js, and HTML. However, additional technologies for messaging queues and highly scalable architecture will be selected and integrated. The rest of our technology stack sits on AWS and Python.

For background information regarding messaging bots: https://www.linkedin.com/pulse/sxsw-2016-messaging-bots-raj-singh?trk=hp-feed-article-title-like

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What We're Building

EruditeAI will build AI systems that amplify human knowledge networks and deliver exponential gains in digital collaborations.

For employees, EruditeAI democratizes job-retraining, makes professional development relevant, and links human learning exchanges to career paths.
For enterprises, we make talent recruitment smarter, just-in-time employee training cheaper, and networks of knowledge capacity heightened and retained even after employee attrition. This will fuel macro-economic growth.

Other Positions

Team

Patrick Poirier
Programmer, product visionary, EdTech passionate, and neuroscientist.
 Clemente Cuevas
Specialist in engineering and understanding systems that enrich data through machine learning, statistics and data interactions
Paulina Barlik
UX designer, co-founder @Fashionote • strategic planner @BBDO • studied at @Warsaw University, @University of Social Sciences and Humanity
Elle Chavez-Jerez
An electric, imaginative and brainy individual with a background in epidemiology, statistics & data science.