At a Glance
- Tasks: Build and ship GenAI applications while collaborating with data scientists and engineers.
- Company: Join a dynamic fintech company in London with a focus on innovation.
- Benefits: Enjoy a hybrid working model and real ownership of projects.
- Other info: Be part of a cross-functional team in a vibrant work environment.
- Why this job: Make an impact in the fast-paced world of fintech with cutting-edge AI technology.
- Qualifications: Strong Python skills and experience with GenAI or LLMs required.
The predicted salary is between 60000 - 80000 € per year.
Wave Talent is seeking an AI Engineer in London to join a dynamic, cross-functional team within a fintech company. This role focuses on building and shipping GenAI applications, integrating AI systems, and collaborating with data scientists and engineers.
Candidates should have strong Python fundamentals and experience with GenAI or LLMs. The position offers a hybrid working model with a focus on real ownership over innovative projects in a fast-paced environment.
GenAI Engineer - Greenfield AI, Production in Fintech employer: Wave Talent
Join a forward-thinking fintech company in London that champions innovation and creativity, offering you the chance to take ownership of groundbreaking GenAI projects. With a hybrid working model, a collaborative culture, and ample opportunities for professional growth, this is an ideal environment for those looking to make a meaningful impact in the rapidly evolving world of AI. Experience a workplace that values your contributions and supports your career development in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Engineer - Greenfield AI, Production in Fintech
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GenAI projects or any relevant work. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python fundamentals and be ready to discuss your experience with GenAI and LLMs. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace GenAI Engineer - Greenfield AI, Production in Fintech
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your strong Python fundamentals in your application. We want to see how you've used Python in past projects, especially if it relates to GenAI or LLMs!
Tailor Your Application:Don’t just send a generic CV and cover letter. We love seeing how your experience aligns with the role of AI Engineer in fintech. Make it personal and relevant to us!
Highlight Collaboration Experience:Since this role involves working with data scientists and engineers, share examples of how you've successfully collaborated in cross-functional teams. We value teamwork and communication!
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 us!
How to prepare for a job interview at Wave Talent
✨Know Your GenAI Inside Out
Make sure you brush up on your knowledge of Generative AI and large language models (LLMs). 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 passion for the field.
✨Show Off Your Python Skills
Since strong Python fundamentals are a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data structures in Python can really help you shine.
✨Collaborate Like a Pro
This role involves working closely with data scientists and engineers, so be prepared to discuss your teamwork experiences. Share examples of how you've successfully collaborated on projects, highlighting your communication skills and ability to integrate different perspectives into your work.
✨Embrace the Fast-Paced Environment
The fintech world moves quickly, so convey your adaptability and eagerness to take ownership of innovative projects. Think of examples where you've thrived under pressure or had to pivot quickly in a project. This will demonstrate that you're ready for the dynamic nature of the role.
