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- Tasks: Develop AI-driven fintech products using Python and take ownership of backend systems.
- Company: Rapidly scaling fintech unicorn with a collaborative culture.
- Benefits: Competitive salary up to £120,000, equity options, and remote-first work.
- Why this job: Join a high-growth environment and make an impact in financial technology.
- Qualifications: Strong Python development experience, especially in backend systems and APIs.
- Other info: Exciting opportunity for tech enthusiasts looking to grow their careers.
The predicted salary is between 72000 - 84000 £ per year.
A rapidly scaling fintech unicorn is seeking a Python Software Engineer to join their engineering team focused on developing AI-driven financial technology products. This role offers significant technical ownership, a competitive salary up to £120,000, equity options, and a remote-first working model.
Candidates should have strong experience in Python development, especially for backend systems and APIs, and an enthusiasm for new technologies. Join a collaborative culture in a high-growth environment.
Python Backend Engineer – AI-Driven Fintech employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Backend Engineer – AI-Driven Fintech
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repo showcasing your Python projects, especially those related to backend systems and APIs. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and system design. Practice coding challenges online to get comfortable with the types of questions you might face.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Python Backend Engineer – AI-Driven Fintech
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python, especially in backend development. We want to see how you've tackled challenges and built APIs in your previous roles.
Be Enthusiastic About AI: Since we're all about AI-driven tech, let us know why you're excited about working in this space. Share any relevant projects or experiences that showcase your passion for new technologies.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates customise their applications to fit the role. Mention specific projects or skills that align with what we’re looking for in a Python Backend Engineer.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Hunter Bond
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with backend systems and APIs, as well as any projects you've worked on that showcase your technical ownership.
✨Show Your Enthusiasm for AI and Fintech
This role is all about AI-driven financial technology, so demonstrate your passion for these areas. Share any relevant experiences or projects that highlight your interest in new technologies and how they can be applied in fintech.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice coding challenges or system design problems related to backend development. This will help you feel more confident and show that you're serious about the role.
✨Emphasise Collaboration and Culture Fit
Since the company values a collaborative culture, be prepared to discuss how you work in teams. Share examples of how you've contributed to a positive team environment and how you handle feedback and collaboration in high-growth settings.
