At a Glance
- Tasks: Design and develop cutting-edge AI systems for investment analysis and decision-making.
- Company: Capsa AI, a fast-growing tech company revolutionising private capital with AI.
- Benefits: Top market compensation, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic startup environment with a focus on ownership and rapid career advancement.
- Why this job: Join a pioneering team at the forefront of AI and make a real impact.
- Qualifications: 4+ years in software engineering with strong AI/ML experience and a passion for innovation.
The predicted salary is between 80000 - 100000 £ per year.
The AI Operating System for Private Capital. Capsa AI Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They’ve got to see through the marketing, outbid the competition, and learn from every deal they do. Historically, these processes have run on people; we are building the AI Operating System that will run them in the future. We’re focused, ambitious, and obsessed with building a category-defining company. In the last 12 months, we’ve grown ARR 15x, achieved product–market fit with leading multi‑billion‑dollar PE firms, and expanded across the US, UK, and Europe. Now we’re doubling down: we’ve raised a large Series A from top‑tier VC investors to scale the team. We’re hiring hyper‑talented people who want to work at the forefront of AI and revolutionise an industry.
At a glance:
- Role: Senior AI Engineer
- Location: London, UK (Hybrid, in‑person 4 days per week)
- Team: Engineering
- Compensation: Top of market. Competitive base + OTE
The role involves taking what you already know about AI systems or about building at the frontier into a category-defining company. You’ll design and ship the core AI capabilities that sit at the heart of our platform, working directly alongside our founding engineers and CTO. Whether you’ve built production LLM systems, designed agentic architectures, or pushed the limits of RAG and reasoning chains, you bring depth most engineers don’t have, and the job is to point that depth at problems the industry has never had good tooling for. This isn’t a place to maintain someone else’s codebase. We hire engineers who want to own things end-to-end from day one, and we give responsibility based on impact, not seniority. Strong execution is the fast track to shaping the technical direction of a high‑growth AI company, building alongside a founding team that will back your best ideas.
The opportunity includes:
- Building the agent’s brain and designing features that give our AI genuine investment expertise.
- Evaluating new models, techniques, and research as they drop.
- Integrating new data sources into the loop and increasing the depth and breadth of analysis the platform can perform.
- Upholding rigorous standards across everything you ship.
Recent projects include:
- Agentic assistant with a finance-focused toolkit and advanced document authoring features
- Scalable document ingestion and indexing pipeline
- In‑house, streaming‑first agent framework
- AI-assisted document editor
Track record required:
- Four or more years building production software, with meaningful time spent on AI/ML systems at a venture‑backed startup or top tech firm.
- You’ve shipped things that mattered, with impact you can speak to.
- Strong Python, hands‑on experience with LLMs, agent frameworks, RAG pipelines, vector databases, and backend infrastructure.
- Domain curiosity, not just technical ability.
- Comfortable at pace in fast-moving environments.
How you operate:
- Low ego, high ownership.
- Hungry and resilient.
- Bias for action over planning theatre.
- Genuinely curious about AI.
If this opportunity excites you, we’d like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you’d own in the first six months. Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
Senior AI Engineer in London employer: Capsa AI
Capsa AI is an exceptional employer for Senior AI Engineers, offering a dynamic work environment in London that fosters innovation and ownership. With a strong focus on employee growth, competitive compensation, and a culture that values impact over hierarchy, you will have the opportunity to shape the future of AI in private capital alongside a talented founding team. The hybrid work model and commitment to diversity further enhance the appeal of joining a rapidly scaling company at the forefront of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This is your chance to demonstrate your expertise and passion for AI, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s products and recent projects. Be ready to discuss how your experience aligns with their goals and how you can contribute to their mission of revolutionising the industry.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our ambitious team.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how you've engaged with AI technologies and what excites you about the future of this field. Share specific projects or experiences that highlight your genuine curiosity.
Be Specific About Your Impact:Don't just list your previous roles; tell us what you achieved in them! We love to hear about the features or products you’ve shipped and the impact they had. Use concrete examples to illustrate how your work made a difference in your past positions.
Tailor Your Application:Make sure your application speaks directly to the role of Senior AI Engineer. Highlight your experience with LLMs, agent frameworks, and any relevant tech stacks. We’re looking for depth, so don’t be shy about showcasing your technical toolkit!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Capsa AI!
How to prepare for a job interview at Capsa AI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially those related to LLMs and agent frameworks. Be ready to discuss specific projects you've worked on and how they relate to the role. This is your chance to show off your engineering depth!
✨Show Your Impact
Prepare to talk about the features or products you've shipped that made a real difference. If you can point to measurable outcomes from your work, it’ll demonstrate your ability to drive results. Remember, they want to see what changed because of your contributions.
✨Embrace the Fast Pace
Get ready for a dynamic environment! Think of examples where you've thrived in fast-moving situations. They’re looking for someone who can adapt quickly and make decisions with incomplete information, so share your experiences that highlight this skill.
✨Ask Insightful Questions
Prepare thoughtful questions about their AI Operating System and the challenges they face. This shows your genuine curiosity about the role and the company. It’s also a great way to demonstrate that you care about what the product does for its users.