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 with exciting growth opportunities.
- 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working with GenAI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to GenAI or LLMs. 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 brushing up on Python fundamentals and AI concepts. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace GenAI Engineer - Greenfield AI, Production in Fintech in London
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! We love seeing applications that are tailored to the role. Mention specific experiences that relate to building and shipping GenAI applications.
Collaborate and Communicate:Since this role involves working with a cross-functional team, let us know about your collaboration skills. Share examples of how you’ve worked with data scientists and engineers in the past.
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 don’t miss out on any important updates!
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 practical experience.
✨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 while coding. Practising common algorithms and data structures in Python can really help you shine.
✨Collaboration is Key
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 feedback.
✨Embrace the Fast-Paced Environment
The fintech sector moves quickly, so show that you can keep up! Talk about times when you had to adapt to changes or work under tight deadlines. Highlight your problem-solving skills and how you prioritise tasks to deliver results efficiently.
