Full Stack Software Engineer

Posted Yesterday
Be an Early Applicant
London, Greater London, England, GBR
Hybrid
Senior level
Artificial Intelligence • Machine Learning • Big Data Analytics
The Role
Build and scale AI-powered production systems across the frontend and backend. Responsibilities include designing scalable architectures, leading engineers, creating maintainable project frameworks, providing full-stack technical authority, deploying software, and advising clients on complex technical requirements and architecture.
Summary Generated by Built In
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


In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape.


We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment.

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.

What you'll be doing:

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

  • Leading engineers within cross-functional teams—alongside Data Scientists and Product Managers—to deploy technically sophisticated, high-impact software.

  • Designing and architecting robust project frameworks that maintain a balance between rapid prototyping and long-term maintainability.

  • Acting as a technical authority for full-stack development within your delivery unit to ensure best practices are met.

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

Who we're looking for:

  • You bring extensive experience in TypeScript and modern frontend frameworks like React or Vue, paired with a strong eye for intuitive UI/UX design.

  • You possess solid backend development skills in Python or TypeScript frameworks (such as FastAPI, Flask, or Django) and are comfortable managing the full application lifecycle.

  • You are experienced in 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 thrive in autonomous, fast-paced environments where you can take full ownership of problems and collaborate directly with clients to define technical strategy.

  • 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.

Skills Required

  • Extensive experience with TypeScript and modern frontend frameworks such as React or Vue
  • Strong frontend UI/UX design skills
  • Backend development experience with Python or TypeScript frameworks such as FastAPI, Flask, or Django
  • Experience managing the full application lifecycle
  • Experience deploying software in cloud environments such as AWS, Azure, or GCP
  • Experience with containerization tools such as Docker
  • Scientific and pragmatic approach to testing assumptions and balancing strategic vision with technical execution
  • Ability to work autonomously in fast-paced environments and own technical problems
  • Ability to collaborate directly with clients and define technical strategy
  • Strong communication and teamwork skills
  • Intellectual curiosity and willingness to learn and apply new technologies
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
663 Employees
Year Founded: 2014

What We Do

We build and deploy safe AI systems that combine the best of human and artificial intelligence to help our customers achieve exceptional performance.

Similar Jobs

BlackRock Logo BlackRock

Software Engineer

Fintech • Information Technology • Financial Services
In-Office
London, Greater London, England, GBR
25000 Employees
Remote or Hybrid
London, Greater London, England, GBR
1100 Employees

INFINIT Logo INFINIT

Software Engineer

Fintech • Payments • Financial Services
Hybrid
London, Greater London, England, GBR
181 Employees

Intrum Logo Intrum

Development Engineer

Fintech • Payments • Financial Services
In-Office
3 Locations
6917 Employees

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
85 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account