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- Tasks: Build and scale AI features using large financial datasets for top-tier clients.
- Company: Exciting Series B fintech startup in London with a hybrid work model.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Be part of a dynamic environment with significant career advancement potential.
- Why this job: Join a high-impact team and shape the future of AI in finance.
- Qualifications: Experience in AI engineering and a passion for innovative technology.
The predicted salary is between 70000 - 90000 £ per year.
We’re hiring an Expert AI Engineer to help build a next-generation GenAI product used by top-tier banks, hedge funds, and asset managers. This is a high-impact role on a brand-new AI product—turning massive financial datasets into real-time, explainable insights using LLMs. You’ll own architecture, ship production-grade AI systems, and work directly on a product already gaining serious traction with enterprise clients.
- Build and scale LLM-powered features across large, complex datasets
- Design retrieval + reasoning systems for structured data
Artificial Intelligence Engineer employer: THRivve by intelletec
Contact Detail:
THRivve by intelletec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and complex datasets. We recommend using GitHub or a personal website to display your work. This way, potential employers can see your expertise in action!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. Practice common interview questions related to AI engineering and be ready to discuss your past projects. We’ve got your back with resources to help you ace those interviews!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. Don’t forget to tailor your application to highlight your experience with AI systems and financial datasets!
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how your experience and interests align with our mission to build cutting-edge GenAI products. Share specific projects or technologies that excite you!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the role. Highlight relevant experiences that showcase your skills in building LLM-powered features and working with complex datasets. We love seeing how you can contribute to our team!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications. Avoid jargon unless it’s necessary, and focus on what makes you a great fit for this high-impact role.
Apply Through Our Website: Don’t forget to apply 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 serious about joining our team at StudySmarter!
How to prepare for a job interview at THRivve by intelletec
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around LLMs and GenAI. Be ready to discuss how you've applied these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical problems during the interview. Think about how you would approach designing retrieval and reasoning systems for complex datasets. Practising coding challenges or system design questions can really help you shine.
✨Understand the Financial Sector
Since this role is in a fintech environment, having a grasp of financial datasets and how they are used by banks and hedge funds will set you apart. Familiarise yourself with common financial terms and concepts to demonstrate your interest and understanding of the industry.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI product and its impact on clients. This shows your enthusiasm for the role and helps you gauge if the company aligns with your career goals.