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- Tasks: Design and build AI-powered features for our innovative platform, AltOS.
- Company: Join Vega, a fast-paced startup transforming the alternative investment industry.
- Benefits: Enjoy competitive salary, equity, private health insurance, and a sports allowance.
- Other info: Dynamic environment with opportunities for rapid career growth.
- Why this job: Make a real impact in a foundational AI role with high autonomy.
- Qualifications: Proven track record in AI projects; experience with LLMs is a plus.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Office attendance: 4 days per week in-office (Paddington)
About Vega
Vega is an early-stage startup. There's no playbook, limited structure, and the expectations are high. You will own what you build, move fast with limited hand-holding, and be expected to go beyond the job description when it matters. This is not a 9 to 5. The problems are genuinely hard and the bar is high. But the people who thrive here leave a real mark on the product, the company, and an industry that's long overdue for change. If you want structure, clear scope, and a predictable pace, this isn't the right place. If you want to do the best work of your career and actually see it matter, keep reading…
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 founding team consists of alternatives specialists from KKR, Blackstone, Elliott, and Goldman Sachs, along with top product and engineering talent from successful 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. To learn more, please visit www.vega-alts.com.
Who We Are Looking For
Not a CV. A track record of building things. We want someone who has spent the last couple of years obsessing over what AI can actually do. Someone who has the projects, repos, or products to show for it. You might be a recent grad or self-taught. You might have three years of experience or seven. What matters is that you have shipped interesting things, you think from first principles, and you get restless when you are not building something. If you have built an LLM-powered tool people actually use, fine-tuned a model for a niche domain, designed an agent pipeline that does something genuinely useful, or hacked together something at a hackathon that made people stop and pay attention, we want to hear from you.
What You Will Do
- AI features: Design and build AI-powered features across AltOS, spanning agents, document intelligence, workflow automation, and more
- Prototype to production: Work closely with product and senior leadership to move ideas from concept to shipped product, fast
- End-to-end ownership: Take full responsibility for problems across scoping, architecture, shipping, and iteration
- AI practice: Help define how Vega uses AI across the platform; this is a foundational role, not a feature-ticket role
- Field awareness: Stay close to what's happening in AI research and tooling, and bring what matters back to the team
Technologies
- AI & LLM: AWS Bedrock, Antrophic SDK, RAG with Bedrock Knowledge Bases, Multi-agent orchestration
- Back-end: Java 21, Spring Boot, REST, Postgres/Jooq/Flyway, JUnit/TestContainers/Mockito, AWS (EC2, RDS, Cognito, S3, KMS), Containerization (Docker / kubernetes)
- Front-end: TypeScript, React, and Tailwind CSS
- Cloud & Infra: AWS (Bedrock, S3, KMS, SQS, CloudFront, Cognito, RDS), Kubernetes, Helm, GitHub Actions, Docker
Why join us
- A genuinely foundational AI role at a well-funded, fast-moving company
- High autonomy and trust, with a direct impact on how Vega delivers value for clients
- Competitive salary and equity package
- Benefits include private health insurance, sports allowance, L&D budget, and more
AI/Agent Engineer employer: Vega
Contact Detail:
Vega Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/Agent Engineer
✨Tip Number 1
Get your hands dirty with projects! Show us what you've built, whether it's an LLM-powered tool or a cool hackathon project. We want to see your passion for AI in action!
✨Tip Number 2
Network like a pro! Connect with folks in the AI and tech space, attend meetups, and engage in online communities. You never know who might help you land that dream role at Vega!
✨Tip Number 3
Be ready to chat about your ideas! When you get that interview, come prepared to discuss how you’d tackle real problems and contribute to our mission. We love innovative thinkers!
✨Tip Number 4
Apply through our website! It’s the best way to get noticed by our team. Make sure to highlight your unique projects and experiences that align with what we’re building at Vega.
We think you need these skills to ace AI/Agent Engineer
Some tips for your application 🫡
Show Us Your Projects: We want to see what you've built! Include links to your projects, repos, or any AI tools you've developed. This is your chance to showcase your skills and creativity, so don't hold back!
Tailor Your Application: Make sure your application speaks directly to the role. Highlight your experience with AI and how it aligns with what we're doing at Vega. We love seeing candidates who understand our mission and can articulate their fit.
Be Authentic: Don't just regurgitate buzzwords. Share your genuine passion for AI and building things. We appreciate authenticity and want to know what drives you and how you think about problem-solving.
Apply Through Our Website: For the best chance of getting noticed, apply through our website. It helps us keep track of applications and ensures your details land in the right hands. Plus, we can't wait to hear from you!
How to prepare for a job interview at Vega
✨Show Your Passion for AI
Make sure to highlight your obsession with AI and how you've applied it in real projects. Bring along examples of tools or models you've built, especially if they’ve made a tangible impact. This is your chance to show that you’re not just knowledgeable but also deeply passionate about the field.
✨Demonstrate Problem-Solving Skills
Vega is looking for someone who thrives on challenges. Be prepared to discuss specific problems you've tackled in your previous work. Use the STAR method (Situation, Task, Action, Result) to structure your answers and clearly illustrate how you approached complex issues.
✨Emphasise Ownership and Initiative
Since this role requires end-to-end ownership, share experiences where you took charge of a project from concept to delivery. Talk about how you moved ideas into production and any iterations you made based on feedback. This will show that you can handle the high expectations at Vega.
✨Stay Current with AI Trends
Vega values field awareness, so be ready to discuss recent developments in AI research and tooling. Mention any relevant articles, papers, or tools you’ve been following. This shows that you’re proactive and engaged with the industry, which is crucial for a foundational role.