Level

Faculty

Full Stack Software Engineer

AI in this role

Build and scale full-stack architectures and data pipelines to deliver production-ready AI systems for global clients.

pythonaws
ai-safetyfull-stack-developmentbackendfrontendcloud-infrastructuredata-pipelines

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.

 

Who we're looking for:

 
  • 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.

 

Our Interview Process

 
  1. Talent Team Screen (30 minutes)

  2. Pair Programming Interview (90 minutes)

  3. System Design Interview (90 minutes)

  4. Commercial Interview (60 minutes)

Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

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.

How we rate this

Full Stack Software Engineer at Faculty rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI SafetyFull Stack DevelopmentBackendFrontendCloud InfrastructureData PipelinesPythonAWS

Questions you could be asked

  1. How do you think about the risk of an AI system in this kind of role failing silently?
  2. Tell me about a project where full stack development was part of your work. What did you do?
  3. Tell me about a project where backend was part of your work. What did you do?
  4. Tell me about a project where frontend was part of your work. What did you do?
  5. Tell me about a project where cloud infrastructure was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Safety, Full Stack Development, Backend, Frontend, and Cloud Infrastructure. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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