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- Tasks: Architect and develop production systems using Generative AI and Large Language Models.
- Company: Global financial services firm leading in enterprise transformation.
- Benefits: Hybrid work model, mentorship opportunities, and a collaborative team environment.
- Why this job: Join a cutting-edge team and shape the future of AI in finance.
- Qualifications: Extensive experience with Python, containers, and AI engineering.
The predicted salary is between 80000 - 120000 £ per year.
A global financial services firm is looking for a Staff Generative AI Engineer in London. This role involves architecting and developing production systems using Generative AI and Large Language Models. The ideal candidate will have extensive experience with Python, containers, and AI engineering. This position offers a hybrid work model and opportunities for mentorship within a collaborative team at the forefront of enterprise transformation.
VP, Generative AI Engineer — Production Systems employer: Citibank (Switzerland) AG
Contact Detail:
Citibank (Switzerland) AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Generative AI Engineer — Production Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in generative AI. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python and AI engineering. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common questions related to generative AI and be ready to discuss your past experiences in detail.
✨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!
We think you need these skills to ace VP, Generative AI Engineer — Production Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, containers, and AI engineering. We want to see how your skills align with the role of VP, Generative AI Engineer — Production Systems, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Generative AI and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any cool projects involving Generative AI or Large Language Models, make sure to mention them! We’re keen to see practical examples of your work that demonstrate your expertise and creativity.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Citibank (Switzerland) AG
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI and Large Language Models. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your approach to building production systems. Practising common algorithms and data structures in Python can give you an edge.
✨Familiarise Yourself with Containers
Containers are crucial for deploying AI models. Make sure you can talk about your experience with Docker or Kubernetes, and how you've used these tools in past projects. Being able to explain the benefits of containerisation in AI engineering will impress your interviewers.
✨Emphasise Collaboration and Mentorship
This role involves working within a collaborative team, so highlight your teamwork and mentorship experiences. Share examples of how you've supported colleagues or contributed to a positive team environment. This will show that you're not just a tech whiz but also a great team player.