Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design scalable backend systems and integrate AI features into fintech products.
- Company: Fast-growing fintech company in London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic and fast-paced environment with great career advancement potential.
- Why this job: Join a team redefining financial data usage with cutting-edge AI technology.
- Qualifications: Strong Python skills and hands-on experience with Large Language Models.
The predicted salary is between 60000 - 80000 £ per year.
Station, a fast-growing fintech company in London, is seeking a Python Engineer to leverage AI and Large Language Models (LLMs). In this impactful role, you will design scalable backend systems, integrate LLM features into products, and collaborate closely with product and engineering teams.
Ideal candidates will have:
- Strong Python experience
- Hands-on knowledge of LLMs
- The ability to thrive in a fast-paced, innovative environment
Join Station to help build products that redefine financial data usage.
Python Engineer - AI & LLMs for Fintech Scale in London employer: Station
Contact Detail:
Station Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer - AI & LLMs for Fintech Scale in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with AI and LLMs. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo or a personal project showcasing your Python prowess and any LLM integrations you've done. This gives us a tangible way to see what you can do!
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. We love candidates who can think on their feet, so practice coding challenges and be ready to discuss your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Station.
We think you need these skills to ace Python Engineer - AI & LLMs for Fintech Scale in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python experience in your application. We want to see how you've used Python in real-world projects, especially if you've worked with AI or LLMs before!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your skills and experiences align with the role at Station. We love seeing candidates who understand our mission.
Be Clear About Your Experience with LLMs: If you’ve got hands-on knowledge of Large Language Models, make it clear! Share specific examples of how you’ve integrated LLM features into products or systems. This will help us see your potential impact.
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 this exciting opportunity at Station!
How to prepare for a job interview at Station
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including any projects you've worked on that showcase your ability to design scalable backend systems.
✨Familiarise Yourself with LLMs
Since this role involves integrating Large Language Models into products, it’s crucial to have a solid understanding of how they work. Prepare to talk about any hands-on experience you have with LLMs and be ready to discuss their applications in fintech.
✨Showcase Your Collaborative Spirit
This position requires close collaboration with product and engineering teams. Think of examples from your past experiences where you successfully worked in a team setting, and be prepared to share how you can contribute to a fast-paced, innovative environment.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about Station's products, their approach to AI, and how they envision the role of a Python Engineer evolving. This shows your genuine interest in the company and the position.