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AI Engineer
London, 4x days per week in-office
Vega is looking for AI-native builders to create the new way that work gets done in private markets.
About Vega
Vega is transforming the way private markets operate. Alternative asset management is one of the most influential forces in the global economy, with over $20TN in assets today. Over the next five years, the industry is set to grow 3x, but GPs are facing challenges around their ability to handle the investment flows that are coming in. GPs have been completely underserved by innovation, particularly on the investor relations side.
Vega built the industry’s first AI-native operating system, where all client work gets done - from the start of an investor’s journey to its end. We are rethinking how work gets done in private markets from first principles: the opportunity is big, but it’s also niche, high-stakes, and difficult to get right.
Who we are
We are still at the beginning of our journey. Vega was founded by Alexis Augier, a former investor at Elliott and KKR, and built by talent from the world’s leading technology and financial services firms - including Trade Republic, Revolut, Goldman Sachs, BCG, and more. We have raised $30M so far, with the backing of Apollo (who were a client before becoming an investor), Motive Partners, and 60+ senior executives from the industry. Today, we have over $300B AUM and 30,000 users on the platform, and we have much more left to do.
How we do it
Vega is a fast-growing startup. We want to make this a career-accelerating place for people with the ambition to build something big. If the below sounds appealing, it could be for you:
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- We do not seek consensus. You will be expected to voice opinions and take initiative. Vega's best people do not wait to be told what to do before finding solutions to problems they have spotted.
- We believe bureaucracy is the killer of progress. We are focused on creating the minimum viable process to operate with quality at speed.
- We prioritise talent over tenure. There is no promise of progression without performance – we assess and reward people on impact above all else.
- We iterate fast. We make decisions amid ambiguity and with imperfect information, and we strive to balance committing to a hypothesis with iterating at low ego.
- We play to win. Expectations, intensity and ambition are very high, with every single colleague contributing to Vega's success. This often will not be a 9-5.
We know that this culture won’t be for everyone, and we endeavour to make this clear from the beginning of the recruiting process out of respect for your time. Ask yourself whether the above sounds exciting to you in practice every day, and if it does, we would love to hear from you.
Who succeeds in this role
We look for people who match our ambition levels, and then raise it further.
In this role, you will:
- Work directly with business and engineering teams to take ideas from research to production. You will need to have the ability and the ambition to understand business needs and client requirements to deliver at the highest level.
- Build AI-powered features across AltOS, including agents, document intelligence, workflow automation, and knowledge retrieval systems.
- Own problems end-to-end, from scoping and architecture through to shipping and iteration while keeping up to date with developments in AI. Examples of previous AI projects are a plus.
- Help define how AI is applied across Vega's products and internal workflows.


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What we look for:
- Team player with strong communication and collaboration skills.
Technologies
AI & LLM: AWS Bedrock, Anthropic SDK, Claude Agent SDK, MCP, Bedrock Knowledge Bases, pgvector, Amazon S3 Vectors, Multi-agent orchestration, SSE streaming, promptfoo, Claude Vision, ontology, AI guardrail
Back-end: Java 21, Node.js + TypeScript (Hono), REST + OpenAPI contract-first codegen, Kafka (MSK) + Avro, Postgres/jOOQ/Flyway + Kysely, JUnit/TestContainers/Mockito + Cucumber & REST Assured, AWS (EKS, RDS/Aurora, Cognito, S3, KMS), Docker, Kubernetes
Front-end: TypeScript, React, Vite, Tailwind CSS, TanStack, Vitest & Playwright
Cloud & Infra: AWS (Bedrock, S3, KMS, SQS, CloudFront, Cognito, RDS), Kubernetes, Helm, GitHub Actions, Docker
Why join us?
- You will help define the transformation of one of the most influential industries of our time with AI, working alongside an ambitious and dedicated team
- Competitive salary and equity package
- Benefits including medical insurance, gym membership, learning budget, and more
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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