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- 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.
- Why this job: Join a high-calibre team and tackle challenging problems that matter.
- Qualifications: Bachelor's in Computer Science, experience with AI frameworks, and a passion for problem-solving.
- Other info: Dynamic work environment with opportunities for growth and autonomy.
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 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 Investment Technologies Limited
Contact Detail:
Vega Investment Technologies Limited Recruiting Team
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 got projects or experiences that highlight your AI prowess, don’t be shy. Bring them up in conversations or interviews to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the unexpected! Vega is all about tackling complex problems, so be ready to think on your feet during interviews. Practice problem-solving scenarios to showcase your quick thinking.
✨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 Investment Technologies Limited
✨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 situations where you had to conceptualise systems from scratch and how you approached those problems. This will demonstrate your ability to thrive in high-ambiguity environments.
✨Demonstrate Your Curiosity
Vega is all about innovation and creativity, so show them your intellectual curiosity! Be prepared to discuss recent advancements in AI and technology that excite you, and how you think they could apply to the financial services industry. This will highlight your passion and forward-thinking mindset.
✨Emphasise Ownership and Autonomy
Since this role requires a self-directed approach, share examples of when you've taken ownership of projects or tasks. Talk about how you manage your time and priorities without waiting for direction. This will resonate well with Vega's culture of autonomy and responsibility.