Full Stack Software Engineer

Ai.
UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Application Lifecycle Management Microsoft Azure Cloud Computing Machine Learning Rapid Prototyping Process Software Deployment TypeScript Web Application Frameworks Cloud Platform System ReactJS
+6 more
Backend Fastapi Vue.js Front End Software Development Data Pipelines Docker

Job description

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.

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., A note on AI: we’re happy for you to use it for research and interview prep, but please don’t use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.

Requirements

  • You possess solid backend development skills in Python frameworks (such as FastAPI) and are comfortable managing the full application lifecycle.
  • You have full-stack experience and exposure to TypeScript and modern frontend frameworks like React or Vue
  • You have experience deploying software within cloud environments like AWS, Azure, or GCP, ideally using containerisation tools like Docker.
  • You demonstrate a scientific and pragmatic mindset, testing assumptions and balancing big-picture vision with the technical details required for execution.
  • You know how to maintain a balance between rapid prototyping and long-term maintainability.
  • You thrive in autonomous, fast-paced environments where you can take full ownership of problems.
  • You are a compelling communicator who enjoys working in a team-oriented culture and has a relentless drive to learn and apply novel technologies.

About the company

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 National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions.

We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all.

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

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