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- Tasks: Build and scale AI features for top-tier financial institutions using cutting-edge technology.
- Company: Innovative Series B fintech company revolutionising finance with AI.
- Benefits: Competitive salary, equity options, and hybrid work flexibility.
- Other info: Join a fast-paced team and shape the future of AI in finance.
- Why this job: Make a real impact in global finance with your AI expertise.
- Qualifications: 10+ years of engineering experience and strong GenAI/LLM 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.
Key points:
- 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 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn. Join relevant groups and engage in discussions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and GenAI. This is your chance to demonstrate your hands-on experience and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both tech and non-tech teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Expert AI Engineer. Highlight your experience with GenAI and LLMs, and don’t forget to showcase any projects where you've turned complex datasets into actionable insights.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in finance and how your background makes you the perfect fit for this high-impact role. Keep it engaging and relevant!
Showcase Your Projects: If you’ve worked on any production-grade AI systems or have ownership of complex systems, make sure to mention these in your application. We love seeing real-world examples of your work that demonstrate your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into the process quickly. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at THRivve by intelletec
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest GenAI and LLM technologies. Brush up on your Python skills and be ready to discuss how you've applied these in real-world scenarios, especially in production environments.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, particularly around building and scaling AI systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Financial Sector
Since this role is in a fintech environment, it’s crucial to have a grasp of how AI can transform financial datasets into actionable insights. Familiarise yourself with industry trends and be ready to discuss how your work can benefit banks and asset managers.
✨Engage with the Team Dynamics
This position involves working closely with product and domain experts. Be prepared to discuss how you collaborate in fast-paced teams and share examples of how you’ve successfully delivered complex projects from start to finish.