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- Tasks: Design and build scalable backend systems using Python and integrate AI features.
- Company: Fast-growing fintech company redefining financial data with cutting-edge AI.
- Benefits: Competitive salary, meaningful equity, and flexible hybrid working in London.
- Other info: Collaborate with top-tier investors and innovative teams.
- Why this job: Join a strong engineering culture and work on impactful AI products.
- Qualifications: Experience with Python, LLMs, and building APIs in a fast-paced environment.
The predicted salary is between 60000 - 80000 £ per year.
We’re partnering with a fast-growing fintech company in London that’s redefining how financial data is leveraged through cutting-edge AI. They’re now looking for a Python Engineer with strong experience in AI and Large Language Models (LLMs) to help build intelligent, scalable products used by thousands of customers.
This is a high-impact role where you’ll work closely with product, data, and engineering teams to bring AI-driven features into production.
What you’ll be doing:
- Designing and building scalable backend systems using Python
- Developing and integrating LLM-powered features into core products
- Working with modern AI frameworks (e.g. OpenAI, LangChain, Hugging Face)
- Collaborating with data scientists to productionise models
- Improving system performance, reliability, and scalability
- Contributing to architectural decisions in a growing engineering team
What they’re looking for:
- Strong experience with Python in a production environment
- Hands-on experience with LLMs or applied AI (prompt engineering, fine-tuning, RAG, etc.)
- Experience building APIs and backend services
- Solid understanding of cloud platforms
- Ability to work in a fast-paced, product-driven environment
Why join?
- Work on genuinely impactful AI products in fintech
- Strong engineering culture with a focus on innovation
- Backed by top-tier investors
- Competitive salary + meaningful equity
- Flexible hybrid working in London
Python Developer in City of London employer: Station
Contact Detail:
Station Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those involving AI and LLMs. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI frameworks. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. We want you to shine!
✨Tip Number 4
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 take the initiative to connect directly with us.
We think you need these skills to ace Python Developer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any work with AI or LLMs. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about working in fintech and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool projects involving AI or backend systems, make sure to mention them! We love seeing practical examples of your work, especially if they relate to the job description.
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 Station
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience in a production environment and share specific examples of projects where you've built scalable backend systems.
✨Show Off Your AI Knowledge
Since this role focuses on AI and LLMs, be prepared to talk about your hands-on experience with these technologies. Discuss any projects involving prompt engineering or fine-tuning models, and be ready to explain how you’ve integrated AI features into products.
✨Familiarise Yourself with Modern Frameworks
Get to grips with the latest AI frameworks like OpenAI, LangChain, and Hugging Face. Being able to discuss how you've used these tools in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Emphasise Collaboration Skills
This role involves working closely with product, data, and engineering teams. Be ready to share examples of how you've collaborated in the past, especially in fast-paced environments, and highlight your ability to contribute to architectural decisions.