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- 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 leave, private healthcare, flexible working, and coaching support.
- Why this job: Make a real-world impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: Solid backend skills in Python, full-stack experience, and cloud deployment knowledge.
- Other info: Diverse team culture that values curiosity and positive impact.
The predicted salary is between 60000 - 80000 £ per year.
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. 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.
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:
- 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
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 AI Engineer: Production-Ready Systems in London employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack AI Engineer: Production-Ready Systems in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Faculty or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and full-stack development. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like StudySmarter to brush up on your skills and get comfortable with pair programming scenarios.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, your passion and unique strengths might just be what we’re looking for. Remember, we value diverse backgrounds and experiences!
We think you need these skills to ace Full-Stack AI Engineer: Production-Ready Systems in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how you connect with our mission of using AI for the public good. Share any relevant projects or experiences that highlight your passion.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your full-stack experience and specific skills in Python, TypeScript, and cloud environments. We love seeing how your unique background fits into our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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 The Rundown AI, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python frameworks like FastAPI and frontend frameworks like React or Vue. Brush up on your cloud deployment skills too, as they’ll likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you tackled them. This role requires a scientific mindset, so be ready to explain your thought process and how you balance rapid prototyping with long-term maintainability.
✨Practice Pair Programming
Since there’s a pair programming interview, it’s crucial to practice coding with someone else. This will help you get comfortable explaining your thought process while coding and collaborating effectively, which is key for this role.
✨Communicate Clearly
As a Full-Stack AI Engineer, you’ll need to work closely with cross-functional teams. Practice articulating your ideas clearly and concisely, and be prepared to ask questions. Good communication can set you apart from other candidates.