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 employer: GL Global
As a Senior Python Software Engineer in our newly formed AI team at a leading global investment bank, you will thrive in a dynamic and innovative work culture that prioritises cutting-edge technology and employee growth. With competitive daily rates and the opportunity to work on transformative AI projects, you will be part of a high-performing environment that fosters collaboration and continuous learning, ensuring your skills are always at the forefront of the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Software Engineer (FastAPI) - New AI Team
✨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 referral can make all the difference when you're applying for that Senior Python Software Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those using FastAPI. This will give potential employers a taste of what you can do and how you tackle complex engineering challenges.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of scalable systems and backend architecture. Practice coding challenges and be ready to discuss your experience with CI/CD and DevOps practices.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can help us match your skills with the right roles faster. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Python Software Engineer (FastAPI) - New AI Team
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your Python and FastAPI experience, and don’t forget to showcase any relevant AI projects you've worked on. We want to see how your skills align with what we're looking for!
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. Keep it engaging and personal – we love a bit of personality!
Showcase Your Projects:If you've got any projects that demonstrate your expertise in scalable backend systems or AI applications, make sure to mention them. We’re keen to see real-world examples of your work and how you tackle engineering challenges.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
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.
✨Understand the AI Landscape
Since this role is focused on AI and machine learning, it’s crucial to familiarise yourself with the latest trends and technologies in the field. Be prepared to talk about how you've applied AI in previous roles and how you envision using it in a financial context.
✨Showcase Your System Design Skills
Be ready to discuss scalable system design principles and architectural patterns. Prepare examples of how you've designed and implemented production-grade systems, particularly in cloud-native environments like Kubernetes or OpenShift.
✨Emphasise Collaboration and Agile Practices
This role requires working within a team, so highlight your experience with agile methodologies and DevOps practices. Share specific examples of how you've contributed to CI/CD processes and collaborated with cross-functional teams to deliver successful projects.
