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- Tasks: Develop scalable AI agents using cutting-edge techniques in a fast-paced environment.
- Company: Join a pioneering AI start-up transforming the financial services industry in London.
- Benefits: Enjoy a competitive salary, strong equity options, and a hybrid work model.
- Why this job: Be part of a dynamic team redefining industry standards with innovative AI solutions.
- Qualifications: Degree in Computer Science or related field; strong Python skills and experience with LLMs required.
- Other info: Opportunity to work with ex-big tech experts in a seed-funded start-up aiming for Series A.
The predicted salary is between 54000 - 126000 £ per year.
This range is provided by Evoke Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range: Up to £90k + strong equity.
Central London | Hybrid 2-3 days on-site. Seed-funded. Aiming for Series A in 2025.
We’re working with a pioneering AI start-up in London that’s transforming the financial services industry. Fresh from securing Seed funding and backed by one of the world’s leading VCs, this fast-growing team—founded by ex-big tech experts—is redefining industry standards in accuracy, reliability, and privacy.
As an AI Engineer, you’ll be at the forefront of developing scalable LLM-based AI agents, leveraging cutting-edge techniques like Retrieval-Augmented Generation (RAG) and semantic search to build production-ready AI solutions.
What You’ll Need:
- A degree in Computer Science, Data Science, Machine Learning, or a related field
- Strong programming skills in Python and experience with deep-learning frameworks
- Hands-on experience with RAG, fine-tuning, and reasoning in LLMs
- A track record of writing production-ready code
- Experience in financial services (internships or full-time roles) is a plus
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Software Development
AI Engineer | Fintech/AI Start-Up employer: Evoke Talent
Contact Detail:
Evoke Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer | Fintech/AI Start-Up
✨Tip Number 1
Network with professionals in the fintech and AI sectors. Attend industry meetups, webinars, or conferences to connect with people who work at similar companies. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your projects related to AI and machine learning on platforms like GitHub. Having a strong portfolio that demonstrates your skills in Python, RAG, and LLMs will make you stand out to recruiters looking for practical experience.
✨Tip Number 3
Stay updated on the latest trends in AI and fintech. Follow relevant blogs, podcasts, and research papers to discuss these topics during interviews. This shows your passion for the field and your commitment to continuous learning.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems. Focus on algorithms and data structures, as well as specific AI-related questions that may come up, especially around LLMs and deep learning frameworks.
We think you need these skills to ace AI Engineer | Fintech/AI Start-Up
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and financial services. Emphasise your programming skills in Python and any hands-on experience with LLMs, RAG, and deep-learning frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and the fintech industry. Mention specific projects or experiences that demonstrate your ability to develop scalable AI solutions and your understanding of the financial services sector.
Showcase Your Technical Skills: In your application, include examples of production-ready code you’ve written. If possible, provide links to GitHub repositories or projects that illustrate your expertise in AI development and programming.
Highlight Relevant Experience: If you have internships or full-time roles in financial services, make sure to detail these experiences. Explain how they have prepared you for the role of AI Engineer and how they relate to the job description provided.
How to prepare for a job interview at Evoke Talent
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python and any experience you have with deep-learning frameworks. You might be asked to solve coding problems or explain your previous projects, so brush up on relevant concepts and be ready to demonstrate your expertise.
✨Understand the Company’s Vision
Research the AI start-up and its mission to transform the financial services industry. Familiarise yourself with their recent achievements, such as securing Seed funding, and be ready to discuss how your skills can contribute to their goals, especially in developing scalable LLM-based AI agents.
✨Prepare for Behavioural Questions
Expect questions that assess your problem-solving abilities and teamwork skills. Think of examples from your past experiences, particularly in financial services, where you demonstrated these qualities. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the company culture, team dynamics, and future projects. This shows your genuine interest in the role and helps you determine if the company is the right fit for you.
