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- Tasks: Develop innovative AI systems to streamline business processes in fintech.
- Company: Leading fintech company in London with a focus on cutting-edge technology.
- Benefits: Hybrid work model, competitive pay, and a supportive environment.
- Why this job: Join a dynamic team and shape the future of AI in finance.
- Qualifications: Strong Python skills and understanding of business processes required.
- Other info: Collaborative atmosphere with opportunities for growth and development.
The predicted salary is between 60000 - 80000 £ per year.
A leading fintech company in London is hiring an AI Engineer to develop cutting-edge AI systems that streamline business processes. You will work on applied AI engineering, focusing on Generative AI and LLMs.
Responsibilities include:
- Building production systems
- Collaborating in autonomous teams
- Redesigning processes
This role requires strong skills in Python, an understanding of business processes, and effective communication. The position offers a hybrid work model, competitive compensation, and a supportive work environment.
GenAI Engineer — Fintech AI Systems & Automation employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Engineer — Fintech AI Systems & Automation
✨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 and show off your passion for Generative AI.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss how you've applied AI engineering in real-world scenarios. We recommend practising common interview questions related to business processes and collaboration.
✨Tip Number 3
Showcase your projects! If you’ve worked on any AI systems or automation projects, make sure to highlight them in your conversations. We love seeing practical examples of your work that demonstrate your skills and creativity.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who are eager to innovate in the fintech space.
We think you need these skills to ace GenAI Engineer — Fintech AI Systems & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant projects involving Generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about fintech and AI. We love seeing candidates who can communicate their enthusiasm and understanding of business processes.
Showcase Team Collaboration: Since we work in autonomous teams, it’s important to demonstrate your ability to collaborate effectively. Share examples of past projects where you’ve worked with others to achieve a common goal—this will really resonate with us!
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Lendable
✨Know Your Generative AI
Make sure you brush up on the latest trends and technologies in Generative AI and LLMs. Be ready to discuss how you've applied these in past projects or how you envision using them in this role.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python. You might be asked to solve coding problems or discuss your previous projects, so have examples ready that highlight your technical abilities.
✨Understand Business Processes
Since the role involves streamlining business processes, do some research on common challenges in fintech. Think about how AI can address these issues and be prepared to share your insights during the interview.
✨Communicate Effectively
Effective communication is key, especially when collaborating in teams. Practice explaining complex technical concepts in simple terms, as you may need to convey your ideas to non-technical stakeholders.