At a Glance
- Tasks: Develop AI-powered features and collaborate with teams to bring innovative ideas to life.
- Company: Vega, a fast-growing startup revolutionising private markets with AI technology.
- Benefits: Competitive salary, equity package, medical insurance, gym membership, and learning budget.
- Other info: Dynamic environment with high expectations and opportunities for rapid career growth.
- Why this job: Join a dedicated team and shape the future of a major industry with cutting-edge AI.
- Qualifications: Strong communication skills and experience with AI technologies and software development.
The predicted salary is between 59400 - 72600 £ per year.
- AI Engineer
- London, 4x days per week in-office
- 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
- 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
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 Alt OS, 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.
- What we look for
- Team player with strong communication and collaboration skills.
- 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 + Type Script (Hono), REST + Open API contract-first codegen, Kafka (MSK) + Avro, Postgres/j OOQ/Flyway + Kysely, JUnit/Test Containers/Mockito + Cucumber & REST Assured, AWS (EKS, RDS/Aurora, Cognito, S3, KMS), Docker, Kubernetes
- Front-end: Type Script, React, Vite, Tailwind CSS, Tan Stack, Vitest & Playwright
- Cloud & Infra: AWS (Bedrock, S3, KMS, SQS, Cloud Front, Cognito, RDS), Kubernetes, Helm, Git Hub 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
- #J-18808-Ljbffr
AI Engineer 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
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at vega or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to vega.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like vega.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like vega that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at vega.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at vega and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at vega
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If vega uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
