At a Glance
- Tasks: Design and build scalable backend systems using Python for AI-driven fintech products.
- Company: Fast-growing fintech company in London, redefining financial data with AI.
- Benefits: Competitive salary, meaningful equity, and flexible hybrid working.
- Other info: Collaborate with talented teams and enjoy a dynamic work environment.
- Why this job: Join a high-impact role and work on innovative AI products that make a difference.
- Qualifications: Strong Python experience and hands-on knowledge of AI and LLMs.
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.
- Designing and building scalable backend systems using Python
- Working with modern AI frameworks
- Collaborating with data scientists to productionise models
- Improving system performance, reliability, and scalability
- 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
- Work on genuinely impactful AI products in fintech
Competitive salary + meaningful equity
Flexible hybrid working in London
Python Engineer employer: Station
Join a dynamic fintech scale-up in London that is at the forefront of AI innovation, where your contributions as a Python Engineer will directly impact the financial landscape. Enjoy a collaborative work culture that values flexibility and creativity, alongside competitive salaries and meaningful equity options. With ample opportunities for professional growth and the chance to work on transformative AI products, this role offers a rewarding career path in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer
✨Tip Number 1
Network like a pro! Reach out to folks 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 taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and AI knowledge. Practice coding challenges and be ready to discuss your experience with LLMs. We recommend using platforms that focus on real-world problems to get you in the right mindset.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you into that high-impact role!
We think you need these skills to ace Python Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and AI, especially any work with LLMs. We want to see how your skills align with 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 this role. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any AI-driven projects or built APIs, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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 prepare to showcase your knowledge of building scalable backend systems. Practise coding challenges that focus on Python to demonstrate your proficiency.
✨Familiarise Yourself with AI and LLMs
Since this role focuses on AI and Large Language Models, dive deep into these topics. Understand the latest frameworks and techniques like prompt engineering and fine-tuning. Be prepared to discuss how you've applied these concepts in previous projects or how you would approach them in this new role.
✨Collaborate and Communicate
This position involves working closely with product, data, and engineering teams. Think about examples from your past where you successfully collaborated with cross-functional teams. Be ready to share how you communicate technical concepts to non-technical stakeholders, as this will be key in your role.
✨Prepare Questions About Impact
Show your enthusiasm for the role by preparing thoughtful questions about the company's AI-driven products and their impact on the fintech space. Ask about the challenges they face and how you can contribute to overcoming them. This demonstrates your genuine interest and helps you assess if the company aligns with your career goals.
