At a Glance
- Tasks: Architect and develop scalable backend services using Python and FastAPI for AI-driven solutions.
- Company: Join a leading global investment bank's innovative AI engineering team.
- Benefits: Competitive daily rate, exposure to cutting-edge AI technologies, and significant career growth.
- Other info: Work on business-critical AI products and tackle complex engineering challenges.
- Why this job: Be part of a transformative AI initiative in a high-performing engineering environment.
- Qualifications: Expert-level Python and FastAPI experience with strong knowledge of scalable systems.
The predicted salary is between 57600 - 64000 € per year.
We are partnering with a leading global investment bank to hire an exceptional Senior Python Software Engineer to join a newly formed AI engineering team focused on transforming risk functions through advanced AI and machine learning technologies. This is a hands-on individual contributor role for a highly capable engineer with deep expertise in Python backend development, scalable system design, and modern software engineering practices.
You will play a key role in architecting and delivering robust, production-grade platforms that support cutting-edge AI-driven solutions within a complex financial environment. This is an opportunity to join a strategically important AI initiative within a leading global financial institution, working on highly visible, business-critical AI products and large-scale risk technology platforms. You will gain exposure to cutting-edge AI technologies, complex engineering challenges, and significant career growth opportunities within a high-performing engineering environment.
Key Responsibilities- Architect and develop scalable backend services using Python and FastAPI
- Build production-grade systems supporting AI/ML applications
- Design and implement solutions for analysing data, code, documentation, and workflow metadata
- Contribute to system architecture, scalability, reliability, and engineering best practices
- Work across containerised and cloud-native environments using Kubernetes/OpenShift
- Drive CI/CD, DevOps, and agile delivery practices
- Expert-level Python development experience
- Strong commercial experience with FastAPI
- Deep understanding of software design principles and architectural patterns
- Experience delivering enterprise-grade software solutions
- Strong knowledge of scalable distributed systems and backend architecture
- Experience with Kubernetes, OpenShift, or similar container platforms
- Strong DevOps and CI/CD expertise
- Ideally experience with Generative AI and LLM-based applications
Senior Python Software Engineer (FastAPI) - New AI Team in London employer: GL Global
Join a leading global investment bank that champions innovation and excellence in the financial sector. As a Senior Python Software Engineer in our new AI team, you will thrive in a dynamic work culture that prioritises collaboration and professional growth, offering competitive daily rates and exposure to cutting-edge AI technologies. With a commitment to employee development and a focus on impactful projects, this role provides a unique opportunity to shape the future of risk management while advancing your career in a high-performing environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Software Engineer (FastAPI) - New AI Team in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in AI or finance. A personal recommendation can make all the difference when you're trying to land that Senior Python Software Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Python projects, especially those using FastAPI. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. We want you to shine!
✨Tip Number 4
Don’t forget to 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 are proactive about their job search!
We think you need these skills to ace Senior Python Software Engineer (FastAPI) - New AI Team in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python and FastAPI experience. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our new AI team and how your background makes you a perfect fit for the challenges we face.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex engineering challenges in the past. We love seeing how you approach problems and come up with innovative solutions!
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 GL Global
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with FastAPI. Be ready to discuss your past projects and how you've used Python to solve complex problems. Practising coding challenges can also help you demonstrate your expertise during the interview.
✨Showcase Your Architectural Skills
Prepare to talk about your experience with system architecture and design principles. Think of specific examples where you've built scalable backend services or contributed to architectural decisions. This will show that you understand the bigger picture and can contribute to the team's goals.
✨Familiarise Yourself with AI and ML Concepts
Since this role is focused on AI-driven solutions, it’s crucial to have a solid understanding of AI and machine learning concepts. Be prepared to discuss how you've integrated these technologies into your previous work and any relevant projects you've been involved in.
✨Emphasise Your DevOps Experience
Highlight your experience with CI/CD, DevOps practices, and containerisation tools like Kubernetes or OpenShift. Be ready to explain how you've implemented these practices in your past roles to improve deployment processes and system reliability.
