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For Companies At a Glance
- Tasks: Design and build cutting-edge AI systems with full ownership of exciting projects.
- Company: Join a dynamic AI tech scale-up founded by industry experts.
- Benefits: Earn up to £150k in your first year plus equity and enjoy hybrid work.
- Why this job: Make a real impact on innovative AI solutions while working with top talent.
- Qualifications: Computer Science degree and strong Python skills required; passion for AI is a must.
- Other info: Experience a culture of innovation, autonomy, and significant career growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI Tech company is expanding its high-calibre engineering team and looking for Software 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.
Role
- Design and build production-grade backend systems using Python 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
- Work heavily on AI tooling and agentic coding agents
- Drive continuous improvement and innovation across the engineering organisation
Skills
- A Computer Science degree from a top university (Oxford, Cambridge, Imperial, Durham etc.)
- Strong Python skills (FastAPI preferred; Flask or Django also considered)
- Experience with agentic coding tools is useful
- Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation
- Understanding of software engineering best practices — testing, CI/CD, clean code
- 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 Software Engineer - (AI Tech Scale Up) - Up to 150k First Year Comp + Equity employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate AI Software Engineer - (AI Tech Scale Up) - Up to 150k First Year Comp + Equity
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at companies you're interested in. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those using Python and FastAPI. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Graduate AI Software Engineer - (AI Tech Scale Up) - Up to 150k First Year Comp + Equity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Graduate AI Software Engineer role. Highlight your Python expertise, any projects involving FastAPI, and your understanding of cloud technologies. We want to see how you can contribute to our cutting-edge AI systems!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for AI. Share why you're excited about this role and how your background makes you a great fit. Don’t forget to mention any relevant projects or experiences that demonstrate your curiosity and innovation!
Showcase Your Projects: If you've worked on any greenfield projects or have experience with distributed systems, make sure to include them in your application. We love seeing practical examples of your work, especially if they relate to AI tooling or agentic coding agents. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and genuinely interested in joining our 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 and FastAPI, as these are key to the role. Brush up on your knowledge of cloud technologies like AWS or Azure, and be ready to discuss how you've used them in past projects.
✨Show Your Passion for AI
Demonstrate your genuine interest in AI systems during the interview. Share any personal projects or experiences that highlight your enthusiasm for automation and real-world applications of AI.
✨Prepare for System Design Questions
Expect questions about architecture decisions and scalability planning. Think through some examples where you’ve contributed to system optimisation or implemented best practices in testing and CI/CD.
✨Emphasise Collaboration and Ownership
This company values a flat structure and teamwork. Be prepared to discuss how you’ve worked collaboratively in the past and how you take ownership of your projects, showcasing your ability to drive innovation.
