We're building an Enterprise AI platform focusing on deep customer understanding, modelling and emotionally intelligent customer engagement. If you have a startup mentality and a desire to help some of the world’s largest organizations leverage the latest ML / AI technologies we want to hear from you.
Genus AI is an international company with offices in San Francisco, London and Vilnius. Come join us to change the world in a meaningful way!
The engineering team at Genus AI works closely with the commercial and data science teams to build a high-quality Enterprise AI platform and services that exceed client expectations. Our clients trust us with their most sensitive information and we make security a first-class consideration not only in engineering matters but across the whole company.
We are looking for an experienced software engineer with varying degree of experience and diverse backgrounds to work together.
You will.
Requirements
You may be fit for this role if you.
Benefits
First and foremost we want to be proud of our team, the work we do together, to learn from one another and set an example and be driving force in AI application in positive ways. We expect initiative and self-reliance in a lot of day to day tasks.
We follow Gall's Law when we build systems - start simple and gradually improve. We build systems that are not algorithmically pure, but easy to change, adapt and improve. We are fans of "Choose Boring First" approach and try to be smart about the technologies we pick.
We are optimizing our engineering towards sustainable speed. We encourage the release of small iterative changes, that are fast to review and verify. This gives us a significant speed in trying out various ideas and getting feedback fast.
We review everything that goes into production, both to improve the quality of our code and to share knowledge. We use a subtly different review workflow that contributes a lot to our productivity and speed.
We automate things when it makes the most sense.
In all of the above, we strive to be keep a high-security standard. We use a set of tools to automate compliance checks. We do regular software upgrades, review our software dependencies and regularly organise pen-testing. We enforce good basic cybersecurity hygiene wherever possible and expect every team member to support this.
Languages, Frameworks and Tools you will encounter at Genus AI
Most of our codebase is written in Python (3.6+). We understand that languages can be learnt, therefore we are more interested in your engineering ability.
Our infrastructure is built on top of AWS and we use CloudFormation for Infrastructure-as-a-Code, and Ansible with custom plugins for automation.
We use Phabricator for most of our engineering and product workflows.
We use Django 3 with MariaDB for our client facing platform API.
We use React, TypeScript, and GraphQL for our platform UI.
We use Jupyterlab with Python, Scikit-learn, Pytorch, Tensorflow, and AWS SageMaker for data science workloads. As we plan on doing more Ramp;D there is an opportunity for validating any other cutting edge ML tools and frameworks.