At a Glance
- Tasks: Design and build cutting-edge AI workflows for the financial services industry.
- Company: Vega, a pioneering tech firm transforming private markets with innovative solutions.
- Benefits: Competitive salary, hands-on experience, and a chance to shape the future of finance.
- Other info: Opportunity for significant impact and career growth in a dynamic setting.
- Why this job: Join a high-calibre team and tackle real-world challenges in a fast-paced environment.
- Qualifications: Bachelor's degree in Computer Science and experience with agentic AI frameworks.
The predicted salary is between 36000 - 60000 £ per year.
Location: London Office attendance: 4 days per week in-office (Paddington)
About the company:
Vega is unlocking scale for alternative asset managers. Private markets are shaping into one of the most influential forces in the global economy over the coming decades, with more than $20 trillion in AuM today and expected to already triple by 2032. Today, the industry is at an inflection point as it enters an era of hyper-growth, increased complexity, and brand-new demands. To competitively service and scale their client base across the entire investment lifecycle, managers need a technological transformation. Vega is delivering the industry's purpose-built infrastructure with AltOS – the AI-powered client & distribution operating system for alternatives. Vega's is leading the private markets industry into the age of agentic AI, setting the market standard and bringing creative, first-principles solutions to a legacy industry long dominated by archaic point solutions. Vega's founding team brings together alternatives specialists from KKR, Blackstone, Elliott, and Goldman Sachs, alongside top product and engineering talent from fintech scale-ups like Revolut and Trade Republic. Vega has raised over $28M in funding from Apollo, Motive Ventures, Picus Capital, and 60 senior executives from the alternative investment industry.
The role:
This is not a typical internship. As an AI Engineering Intern at Vega, you will work on unchartered problems, designing and building agentic AI workflows that sit at the frontier of financial services. You will be a builder, owning real work-streams and contributing directly to infrastructure that will define how the private markets industry operates for decades to come. You will be joining a small, high-calibre team where your ideas will be heard and the problems you tackle will be genuinely challenging. If you're the kind of person who gets excited about conceptualising complex systems from scratch and thrives with autonomy, this is the role for you.
Requirements:
- Bachelor's degree in Computer Science or related degree from top-tier university
- Hands-on experience with agentic AI frameworks; an interest in financial services is a plus
- You thrive in fast-paced, high-ambiguity environments and bring a high-urgency, high-agency approach to everything you do
- You are a natural problem solver who gets energised by working on hard, unsolved challenges
- You are intellectually curious and enjoy going deep on AI and technology, and thinking carefully about mapping complex workflows into clear logics
- You take ownership and are self-directed – you don't wait to be told what to do
AI Engineer in London employer: vega
Vega is an exceptional employer for those looking to make a significant impact in the fast-paced world of alternative asset management. With a culture that thrives on high standards and autonomy, employees are empowered to take ownership of their work while collaborating with seasoned professionals from top fintech firms. The opportunity for personal and professional growth is immense, as team members contribute to innovative AI-driven solutions that are reshaping the industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Vega or similar companies. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve worked on any cool AI projects, make sure to have them ready to discuss. Bring examples to the table that highlight your problem-solving abilities and creativity.
✨Tip Number 3
Prepare for the unexpected! In fast-paced environments like Vega, you might face tricky questions or scenarios. Practice thinking on your feet and be ready to showcase your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Vega team.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and technology shine through. We want to see that you’re not just ticking boxes but genuinely excited about the challenges in the financial services sector.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the AI Engineer role. Highlight relevant experiences and skills that align with what we’re looking for, especially your hands-on experience with agentic AI frameworks.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and how they relate to the role at Vega.
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 this exciting opportunity to join our team.
How to prepare for a job interview at vega
✨Know Your AI Frameworks
Make sure you brush up on your knowledge of agentic AI frameworks before the interview. Vega is looking for someone who can hit the ground running, so be prepared to discuss your hands-on experience and how you've applied these frameworks in real-world scenarios.
✨Show Your Problem-Solving Skills
Vega values natural problem solvers, so come ready with examples of complex challenges you've tackled. Think about specific instances where you conceptualised systems from scratch or navigated ambiguity, and be ready to share your thought process.
✨Demonstrate Your Curiosity
Intellectual curiosity is key for this role. Be prepared to discuss recent developments in AI and technology that excite you. Show them that you're not just knowledgeable but also passionate about diving deep into the subject matter.
✨Emphasise Ownership and Autonomy
Vega wants self-directed individuals who take ownership of their work. Share examples of projects where you took the initiative and drove results without waiting for direction. This will highlight your ability to thrive in a fast-paced environment.
