At a Glance
- Tasks: Build AI-powered features and collaborate with founders on innovative projects.
- Company: Early-stage startup revolutionising alternative asset management with cutting-edge technology.
- Benefits: Competitive salary, equity package, private medical insurance, gym membership, and learning budget.
- Other info: High autonomy and responsibility from day one in a dynamic environment.
- Why this job: Join a high-impact team shaping the future of AI in finance.
- Qualifications: Proven track record in AI development and a passion for building innovative solutions.
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. Our goal is to build a generational company – we know this is not for everyone, but our commitment is that, for those who it is, this will be a career-defining place to be.
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 – a first-of-its-kind AI-powered operating system where all client work gets done.
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, with over $300B assets under administration on our platform.
Who We're Looking For
Not a CV. A track record of building things. We want someone who has spent the last few years obsessing over what AI can actually do. Someone with projects, products, repos, or experiments to show for it. We care far more about what you've built than where you've worked or studied. Maybe you've built an LLM-powered tool people actually use. Maybe you've designed an agent workflow that solves a real problem. Maybe you've fine-tuned models, built side projects, won hackathons, or contributed to open source. What matters is that you ship, think from first principles, and get restless when you're not building.
What You'll Do
- Build AI-powered features across AltOS, including agents, document intelligence, workflow automation, and knowledge retrieval systems
- Work directly with founders and engineering teams to take ideas from concept to production
- Own problems end-to-end, from scoping and architecture through to shipping and iteration
- Help define how AI is applied across Vega's products and internal workflows
- Stay close to developments in AI and bring what matters into production
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 Vega?
- Help define the future of AI at a well-funded company operating in a large and rapidly growing market
- Work directly with founders and senior leadership
- High autonomy, trust, and responsibility from day-one
- Build production AI systems used by leading alternative asset managers
- Competitive salary and equity package
- Benefits: private medical insurance, gym membership, learning budget and many more
AI/Agent Engineer in London employer: Motive Partners
Vega is an exceptional employer for those looking to make a significant impact in the AI space, particularly within the alternative asset management sector. With a dynamic work culture that emphasises high autonomy and responsibility, employees are empowered to innovate and contribute directly to the future of AI technology. Located in the vibrant Paddington area of London, Vega offers competitive salaries, equity packages, and a range of benefits including private medical insurance and a learning budget, making it an ideal place for career growth and meaningful work.
StudySmarter Expert Advice🤫
We think this is how you could land AI/Agent Engineer in London
✨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 Motive Partners 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 Motive Partners.
✨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 Motive Partners.
✨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 Motive Partners 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/Agent Engineer in London
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 Motive Partners.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Motive Partners 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 Motive Partners
✨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 Motive Partners 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.
