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- Tasks: Build and scale AI features using large financial datasets for top-tier clients.
- Company: Innovative fintech company revolutionising finance with AI technology.
- Benefits: Competitive salary, equity options, and hybrid work model.
- Other info: Join a fast-moving team with high ownership and growth opportunities.
- Why this job: Shape the future of AI in finance and make a real-world impact.
- Qualifications: 10+ years engineering experience with strong GenAI and backend skills.
The predicted salary is between 130000 - 130000 £ 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 & unstructured data
- Own end-to-end delivery of production AI applications
- Work closely with product + domain experts in a fast-moving team
What they want:
- ~10+ years engineering experience
- Strong hands-on GenAI / LLM experience in production
- Solid backend skills (Python or similar)
- Proven ownership of complex systems
Package: Up to £130k base + equity
London (Victoria) – Hybrid
High ownership, real-world impact, and a chance to shape how AI is used in global finance—drop me a message if you’re interested.
Remote Engineer:in (m/w/d) in London employer: THRivve by intelletec
Contact Detail:
THRivve by intelletec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Engineer:in (m/w/d) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn. Join relevant groups, attend virtual meetups, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving GenAI or LLMs. This is your chance to demonstrate your hands-on experience and problem-solving abilities—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI engineering and be ready to discuss your previous ownership of complex systems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making connections and helping you land that dream role. Keep an eye on our listings and get your application in—let’s make it happen together!
We think you need these skills to ace Remote Engineer:in (m/w/d) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience that match the job description. Highlight your hands-on GenAI and LLM experience, as well as any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for this role. Don’t forget to mention your experience with complex systems and production-grade applications.
Showcase Your Projects: If you've worked on any interesting projects related to AI or large datasets, make sure to include them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to deliver impactful solutions.
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 us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at THRivve by intelletec
✨Know Your Tech Inside Out
Make sure you’re well-versed in GenAI and LLMs, as these are crucial for the role. Brush up on your backend skills, especially in Python or similar languages, and be ready to discuss your hands-on experience with production systems.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex engineering challenges in the past. Think about projects where you owned the end-to-end delivery of AI applications and be ready to explain your thought process.
✨Understand the Financial Landscape
Since this role involves working with top-tier banks and asset managers, it’s beneficial to have a grasp of the financial sector. Familiarise yourself with how AI is transforming finance and be prepared to discuss how your work can impact this space.
✨Be Ready for Collaborative Discussions
This position requires close collaboration with product and domain experts. Prepare to demonstrate your teamwork skills and how you’ve successfully worked in fast-moving teams. Think of examples where you’ve contributed to a project through effective communication and collaboration.