Full Stack Software Engineer

Why Faculty?

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.

We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.

AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

 

About the team

 

Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good.

From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.

Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.

 

About the role

 

As a Full Stack Software Engineer, you will collaborate with cross-functional teams to build and scale AI-powered systems that solve unique challenges for global clients.

 

This is an opportunity to take ownership of the entire stack, turning sophisticated machine learning outputs into high-impact, production-ready solutions that drive real-world transformation.

#LI-PRIO

 

What you'll be doing:

• Working in cross-functional teams, alongside Data Scientists and Product Managers, to deploy technically sophisticated, high-impact software.

• Building reliable, and scalable frontend and backend architectures to enable the seamless delivery of advanced AI systems.

• Building data pipelines and cloud infrastructure as part of wider AI systems.

• Providing deep technical expertise to customers, helping them navigate complex requirements.