Software Architect / Engineer. (this position is closed, keep an eye for new openings)


1 year, with the possibility of becoming permanent.

Application Deadline:

16 Dec 2022.


Full-time, Hybrid (London, UK)

Start date:

3 Jan 2023 (we are open to considering notice period requirements).


Nanu is a deep-tech start-up building a cognitive performance tool that will change how people engage in dialogue and develop skills during online meetings. We aim to have a massive societal impact by making better persons, workplaces and better-performing businesses. We believe AI should enrich the common good and individuals' well-being, and we are working towards this goal.


We are building a plug-in for online conference systems (Zoom, Teams, Google Meet, Webex) that gives the speaker live- and post-meeting feedback about their conversational behaviour in the meeting.

General Description:

You will design the architecture of the Nanu platform (web app, mobile app, Zoom plug-in, and backend system). You will work with a team of computational linguists to deploy the models they develop in the production environment. You will also coordinate with them to create a continuous flow of model updating into production. The ideal stack to develop the MVP and future versions would include a cross-platform framework like React. The backend would ideally be deployed in AWS.

Main Activities:

  • Design, architect, and build performant, reliable, high-quality systems at scale;
  • Using SOLID principles, the code you write will be, high-quality, clean, testable, evolvable, organized, and easily supported;
  • Own development end-to-end, including gathering requirements, crafting, implementing, testing, deploying, and maintaining systems;
  • Experiment with new technologies and help determine how best to apply them to solve the business problems we face;
  • Web app development;
  • Plug-in for Zoom development;
  • Cloud Services Deployment;
  • Evaluation, selection and implementation of speech-to-text cloud service or technology;
  • Integrate with the language modelling team;
  • Enthusiastic, with a willingness to further improve skills and to create a supportive and positive working environment;
  • API Implementation;
  • Capable of writing clear and comprehensive documentation.

The ideal candidate will have the following:

  • Experience with React and Python;

Expertise in the following areas is advantageous but not required:

  • Expertise in deploying Machine Learning models into production environments.
  • Experience building Zoom plug-ins.

Our values:

We value creativity, curiosity, passion, persistence and life balance.


(this position is closed, keep an eye for new openings)