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- Tasks: Master generative AI tools and develop innovative finance solutions.
- Company: Exciting AI startup in the finance sector, based in London or Bristol.
- Benefits: Competitive salary, learning stipends, and a chance to shape tech development.
- Why this job: Join a flat team and directly influence the future of finance technology.
- Qualifications: Strong background in generative AI and a passion for innovation.
- Other info: Be part of a pioneering team with immense growth potential.
The predicted salary is between 36000 - 60000 £ per year.
An innovative AI startup in finance seeks a founding team member in London or Bristol. This role focuses on mastering generative AI tools, conducting research, and developing integration capabilities. Ideal candidates will have a strong background in generative AI and a desire to influence the direction of technical development.
Join a flat organizational structure where your contributions will directly shape the future of finance technology. Competitive salary and learning stipends included.
Founding AI Engineer for Finance Tools & MCP in London employer: GenFinance.AI
Contact Detail:
GenFinance.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer for Finance Tools & MCP in London
✨Tip Number 1
Network like a pro! Reach out to people in the finance and AI sectors on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to generative AI. This is your chance to demonstrate your expertise and passion, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and finance. We recommend having a few insightful questions ready to show your genuine interest in the company’s direction.
✨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 take the initiative to connect with us directly.
We think you need these skills to ace Founding AI Engineer for Finance Tools & MCP in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for generative AI shine through. We want to see how your background and interests align with our mission to innovate in finance technology.
Tailor Your Experience: Make sure to highlight relevant experiences that showcase your skills in generative AI tools. We’re looking for specific examples of how you’ve mastered these technologies and how they can be applied to finance.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for this role at StudySmarter.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at GenFinance.AI
✨Master the Generative AI Tools
Before your interview, make sure you’re well-versed in the latest generative AI tools relevant to finance. Brush up on your knowledge and be ready to discuss how you've used these tools in past projects or how you envision using them in this role.
✨Showcase Your Research Skills
Prepare to talk about any research you've conducted in the field of AI, especially as it pertains to finance. Bring examples of your findings and be ready to discuss how they could influence the development of new finance tools.
✨Understand the Company’s Vision
Dive deep into the startup's mission and values. Be prepared to articulate how your skills and experiences align with their goals and how you can contribute to shaping the future of finance technology.
✨Embrace the Flat Structure
Since the company has a flat organisational structure, be ready to discuss how you thrive in collaborative environments. Share examples of how you’ve worked effectively in teams and contributed to decision-making processes.
