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Software Engineer (Front-End focused)

Unkliely AI

Unkliely AI

Software Engineering
London, UK
Posted on Tuesday, July 25, 2023
Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. Based in London, the company was founded by William Tunstall-Pedoe, best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012.
This is a key opportunity to join us as the second Frontend Engineer in the company, make a significant impact on the business and help define the future of our product. As a key member of the team, you will also play a vital role in leading the frontend stack and architecture. Your main responsibilities will be to take ownership of frontend development, optimise user experience and collaborate with cross-functional teams, including our Product Manager and backend developers.
Please see our Company Principles to understand the core things we value – in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact.
Required:
Exceptional coding ability
Degree within a related field - Computer Science, Engineering, Physics, Maths or equivalent
4+ years of commercial experience in software engineering (Preferably Front End focused)
Experience and ability coding in Typescript and React
Desire to solve really difficult software engineering problems
Understanding of modern best practices for agile software development
Understanding of the architectural techniques needed to build massively scalable systems
Desirable but not required:
Ability or desire to learn and code in Java
Experience with AWS and building scalable systems within it
Understanding of state-of-the-art in Artificial Intelligence
Understanding of modern machine learning techniques
Location:
We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom.
Equal Opportunities:
We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.