AI/Agent Engineer

Location: London

Office attendance: 4 days per week in-office (Paddington)

About the company

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.

We are hiring multiple engineers for this role.

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