At a Glance
- Tasks: Develop cutting-edge AI solutions and collaborate on impactful projects.
- Company: Join Faculty, a leader in responsible AI innovation.
- Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
- Why this job: Make a real impact in AI and revolutionise decision-making across industries.
- Qualifications: Full-stack engineering skills with Python, TypeScript, and React required.
- Other info: Diverse team culture with excellent career growth opportunities.
The predicted salary is between 28800 - 48000 ÂŁ 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. 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.
The Faculty Frontier ™ product is our ambitious vision to create the first enterprise‑grade platform that unifies decision intelligence with AI Agents to optimise real‑world outcomes of critical processes across large‑scale organisations. You will work on highly complex and consequential problems across the real economy, with particular focus on healthcare and life sciences.
This role is pivotal in scaling our Decision Intelligence offering, providing AI capabilities that drive high‑impact decisions across various industries. You will tackle genuinely complex technical challenges, build a scalable, cutting‑edge AI product, and lead technical best practices while remaining close to live customer feedback. This is an opportunity to transform how organisations thrive by revolutionising decision‑making with AI and machine learning.
What you’ll be doing:
- Serving as a strong technical contributor within a cross‑functional Delivery Squad, collaborating on impactful customer solutions.
- Working directly with customer stakeholders and engineering teams to integrate Frontier into existing systems, data sources, and workflows.
- Building and extending the product using primary languages such as Python and TypeScript.
- Contributing to the technical delivery of customer‑facing projects and helping to shape how Frontier is deployed and scaled in production environments.
- Collaborating across the wider Frontier engineering organisation to implement new features and improve the product's user experience.
Who we’re looking for:
- You bring full‑stack engineering expertise, particularly with Python, TypeScript, and React.
- You possess a strong understanding of system architecture and design principles.
- You have a history of championing and implementing automated testing strategies across all levels.
- You are experienced in working autonomously in a fast‑paced environment, sometimes introducing creative approaches to difficult problems.
- You are comfortable collaborating effectively with cross‑functional teams, including Product Managers and Product Designers, to ensure delightful customer experiences.
- You have hands‑on experience with core technologies, including PostgreSQL and containerisation (Docker with Kubernetes deployment is preferred).
Interview Process:
- Talent Team Screen (30 mins)
- Pair Programming Interview (90 mins)
- System Design (90 mins)
- Principles interview (60 mins)
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 do apply or reach out to our Talent Acquisition team for a confidential chat - talent@faculty.ai. Please know we are open to conversations about part‑time roles or condensed hours.
Software Engineer in London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer in London
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those at Faculty or similar companies. Attend meetups, webinars, or even just reach out on LinkedIn. You never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those using Python, TypeScript, or React. This is your chance to demonstrate your full-stack expertise and problem-solving abilities. Make sure it’s easy to access and share!
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by doing mock coding challenges and system design exercises. Brush up on your knowledge of PostgreSQL and containerisation too. The more comfortable you are, the better you'll perform!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, if you have any questions or need advice, reach out to our Talent Acquisition team. They’re here to help you navigate the process!
We think you need these skills to ace Software Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it can transform industries. Share any personal projects or experiences that highlight your interest in this field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. We want to see how your background aligns with our mission and the role of Software Engineer.
Highlight Your Technical Skills: Don’t hold back on showcasing your full-stack engineering expertise, especially with Python, TypeScript, and React. Mention specific projects where you’ve used these technologies to solve complex problems.
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 serious about joining our team!
How to prepare for a job interview at Faculty
✨Know Your Tech Stack
Make sure you’re well-versed in Python, TypeScript, and React. Brush up on your full-stack engineering skills and be ready to discuss how you've used these technologies in past projects. This will show that you can hit the ground running!
✨Understand Decision Intelligence
Familiarise yourself with the concept of Decision Intelligence and how it integrates with AI. Be prepared to discuss how you can contribute to scaling this offering and share any relevant experiences where you've tackled complex technical challenges.
✨Prepare for Pair Programming
Since there's a pair programming interview, practice coding with someone else. Focus on clear communication and collaboration, as you'll need to demonstrate not just your coding skills but also how well you work with others.
✨Show Your Problem-Solving Skills
Be ready to discuss specific examples where you've introduced creative solutions to difficult problems. Highlight your experience with automated testing strategies and how they’ve improved project outcomes, as this aligns with their focus on technical best practices.