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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 for innovative solutions.
- 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 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 employer: LGBT Great
Contact Detail:
LGBT Great 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 and participate in discussions to get your name out there. You never know who might have a lead on that perfect Python Developer role!
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those involving LLMs or AI. 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 practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, they want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
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 you've done 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 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 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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at LGBT Great
✨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.
✨Understand the Company’s Vision
Research the fintech company and its innovative approach to leveraging financial data through AI. Be ready to discuss how your skills align with their mission and how you can contribute to building impactful products. This shows genuine interest and helps you connect with the interviewers.