At a Glance
- Tasks: Design and build cutting-edge AI systems that solve real-world problems.
- Company: Dynamic AI tech scale-up backed by top-tier investors.
- Benefits: Up to £150k salary, bonuses, equity, and hybrid work flexibility.
- Other info: Innovative culture with autonomy, collaboration, and excellent growth opportunities.
- Why this job: Join a world-class team and make a real impact in healthcare technology.
- Qualifications: 1st Class Degree, strong coding skills, and a passion for AI.
The predicted salary is between 120000 - 150000 £ per year.
Client: AI Tech Scale-Up – Backed by Top-Tier Investors, Led by World-Class Engineers
Salary: Up to £150k + Bonus + Equity
Location: London (Hybrid)
Sells: Work on cutting-edge AI systems that power innovation at scale. Full remote flexibility across the UK, total ownership of greenfield projects, modern tech stack, and a culture that rewards curiosity, autonomy, and clean engineering.
An AI Tech company is expanding its high-calibre engineering team and looking for AI Engineers who thrive on building elegant, scalable systems from the ground up. You’ll be joining a small, world-class team working on distributed backend platforms, data-driven AI tools, and core infrastructure supporting advanced technologies. This is a true software engineering role where you'll be designing, building, and scaling complex systems that solve real problems in healthcare.
Role
- Design and build production-grade backend systems using Python, Typescript and FastAPI
- Develop distributed, high-performance services and APIs for AI-driven platforms
- Contribute to architecture decisions, scalability planning, and system optimisation
- Implement best practices in testing, CI/CD, and performance monitoring
- Collaborate closely with product, AI, and data teams to deliver end-to-end solutions
- Drive continuous improvement and innovation across the engineering organisation
Skills
- Outstanding academics (1st Class Degree from Top University)
- Strong coding skills (FastAPI preferred; Flask or Django also considered)
- Experience with Claude Code or other agentic coding tools
- Competitive programming (e.g. ICPC/IOI is a distinct advantage)
- A genuine interest in AI systems, automation, and applying engineering to real-world impact
Sells
- Chance to shape core architecture in a high-impact environment
- Flat, engineering-led structure with autonomy and trust
- Work on complex, meaningful technical problems that matter
- Strong equity offering and long-term growth opportunities
- Culture built around innovation, ownership, and collaboration
Graduate AI Engineer in London employer: Hunter Bond
As a Graduate AI Engineer at our innovative AI Tech Scale-Up in London, you'll be part of a dynamic team that values curiosity and autonomy while working on cutting-edge projects that have a real impact in healthcare. We offer a flat, engineering-led structure that encourages collaboration and continuous improvement, alongside competitive compensation, equity options, and the flexibility of hybrid working arrangements. Join us to shape the future of AI systems in a culture that rewards your contributions and fosters your professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and backend systems. This is your chance to demonstrate your coding prowess and problem-solving abilities in a tangible way.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key when discussing your thought process!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in AI. Tailor your application to highlight how your skills align with our mission and culture.
We think you need these skills to ace Graduate AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how your genuine interest in AI systems and real-world impact aligns with our mission. 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 the Graduate AI Engineer role. Highlight your coding skills, especially with Python and FastAPI, and any experience with distributed systems. We love seeing how your background fits into our cutting-edge work!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences. Avoid jargon unless it's relevant, and focus on what makes you a great fit for our team.
Apply Through Our Website:Don't forget to apply 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 innovative team at StudySmarter!
How to prepare for a job interview at Hunter Bond
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Typescript, and FastAPI. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects. Being able to demonstrate your understanding of distributed systems and backend architecture will definitely impress.
✨Show Your Passion for AI
This role is all about AI systems, so let your enthusiasm shine through! Be prepared to talk about your genuine interest in AI, any relevant projects you've worked on, and how you see AI impacting real-world problems, especially in healthcare.
✨Prepare for Problem-Solving Questions
Expect some competitive programming questions or scenarios that test your problem-solving skills. Practise coding challenges and be ready to explain your thought process clearly. This is your chance to showcase your analytical skills and how you approach complex issues.
✨Emphasise Collaboration and Innovation
The company values a culture of collaboration and continuous improvement. Share examples of how you've worked in teams, contributed to architecture decisions, or driven innovation in previous roles. Highlighting your ability to work closely with product, AI, and data teams will show you're a great fit for their environment.
