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- Tasks: Design and build scalable backend systems using Python and integrate LLM-powered 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 product, data, and engineering teams in a fast-paced setting.
- Why this job: Join a strong engineering culture and work on impactful AI products in fintech.
- Qualifications: Experience with Python, LLMs, and building APIs in a production 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 employer: Station
Contact Detail:
Station Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer
✨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 interview questions related to Python and LLMs. We recommend using platforms like LeetCode or HackerRank to get in the zone!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make an impact in the fintech world with their Python expertise.
We think you need these skills to ace Python Developer
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 job description, 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 this role and how your background makes you a perfect fit for our fintech team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool projects involving Python or AI, make sure to mention them! We love seeing real examples of your work, especially if they relate to building scalable systems or integrating LLM features.
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 be prepared to solve coding challenges on the spot. Practising common algorithms and data structures can really help you shine.
✨Familiarise Yourself with LLMs
Since this role focuses on AI and Large Language Models, dive deep into your knowledge of LLMs. Understand concepts like prompt engineering and fine-tuning, and be ready to discuss how you've applied these in past projects. Showing that you can integrate LLM-powered features will set you apart.
✨Showcase Your Collaboration Skills
This position involves working closely with product, data, and engineering teams. Prepare examples of how you've successfully collaborated in the past, especially in fast-paced environments. Highlighting your teamwork will demonstrate that you're a great fit for their strong engineering culture.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current projects involving AI, the tools they use, or how they envision the future of their products. This shows your genuine interest in the role and helps you assess if it's the right fit for you.