At a Glance
- Tasks: Build and scale AI-powered systems with cross-functional teams to solve unique challenges.
- Company: Join Faculty, a leader in responsible AI innovation since 2014.
- Benefits: Enjoy unlimited annual leave, private healthcare, and flexible working options.
- Other info: Diverse team culture with excellent career growth and mentorship opportunities.
- Why this job: Make a real-world impact by turning machine learning into high-impact solutions.
- Qualifications: Experience in TypeScript, modern frontend frameworks, and backend development skills.
The predicted salary is between 36000 - 60000 £ per year.
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. 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.
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 firms 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 meaningful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment.
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.
- Mentoring junior engineers by providing technical guidance, conducting code reviews, and fostering a culture of engineering excellence.
- Acting as the primary 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:
- Talent Team Screen (30 minutes)
- Pair Programming Interview (90 minutes)
- System Design Interview (90 minutes)
- 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.
Some of our standout benefits:
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working (2 days in our Old Street office, London)
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.
Full Stack Software Engineer employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As the Head of Banking AI Transformation, you will have the opportunity to lead transformative projects in a rapidly evolving sector while benefiting from our commitment to employee growth through continuous learning and development. Located in a vibrant area, our team enjoys a supportive environment that values diversity and encourages meaningful contributions to the financial services landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Software Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Faculty on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for those technical interviews! Brush up on your TypeScript, Python, and cloud deployment skills. Practise coding challenges and system design problems to show off your full-stack prowess during the pair programming and system design interviews.
✨Tip Number 3
Show your passion for AI! During interviews, share your thoughts on the latest trends in AI and how you envision its applications. This will demonstrate your intellectual curiosity and align with Faculty's mission of building responsible AI.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Faculty team!
We think you need these skills to ace Full Stack Software Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with TypeScript, React or Vue, and any relevant AI projects. We want to see how your skills align with our mission of building responsible AI solutions.
Showcase Your Projects:Include links to your GitHub or portfolio showcasing your full-stack projects. We love seeing real examples of your work, especially those that demonstrate your ability to create scalable architectures and intuitive UI/UX designs.
Be Authentic:Let your personality shine through in your application. We value intellectual curiosity and a desire to innovate, so don’t be afraid to share your passion for technology and how you envision using it to make a positive impact.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Faculty
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript, React or Vue, and Python frameworks like FastAPI or Flask. Brush up on your cloud deployment skills too, especially with AWS or Azure. Being able to discuss your experience with these technologies confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your scientific mindset and ability to balance big-picture vision with technical details.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, be ready to share examples of how you’ve successfully collaborated with others, such as Data Scientists and Product Managers. Highlight your communication skills and how you foster a team-oriented culture.
✨Prepare for Pair Programming
The pair programming interview is a key part of the process, so practice coding with someone else. Focus on explaining your thought process as you code, and don’t hesitate to ask questions. This will help you demonstrate your technical authority and collaborative spirit.