At a Glance We are using AI to accelerate due diligence and deepen insights for Private Equity funds. We are hiring an AI Engineer who is comfortable contributing to all layers of the application and developing features end to end. Location : London, UK (Hybrid, In-person 4 days per week) Experience Required : 5 years Remuneration : £65k → £100k Generous ESOP Visa : Unfortunately, we don’t sponsor visas yet. You must have the right to work in the UK. About Capsa AI Empowering Private Equity with Advanced AI – Capsa AI is an operating system that aggregates, structures, and generates insights from company and market data. Our AI solutions reduce time spent on mechanical tasks and increase returns by analysing vast amounts of data to provide clear, actionable insights. Our vision is to become the leading AI platform for private capital funds, transforming how private investments are analysed and managed. Our Team and Progress Our founding team has deep domain expertise in Private Equity and AI. Our CEO, Danyal, has over 6 years of experience in Private Equity and Investment Banking at blue-chip financial institutions such as AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, has over 6 years of experience in Machine Learning and AI, having worked at leading defense companies like QinetiQ and retail tech startups such as Standard AI. The entire team are early stage startup veterans, with a passion for building great products. Just one year after our December 2023 founding, we are already generating revenue, serving top-tier PE funds managing over £30 billion across the US, UK, and Germany. Furthermore, we’ve raised over £1.8 million in funding from prominent fintech venture capitalists and private equity angels, underscoring the confidence of industry leaders in our vision and potential. Our Philosophy Small team : Small talented teams outperform large and slow-moving companies. We avoid bureaucracy, keep meetings to a minimum and focus on creating value. Simple where possible: We are passionate about new technology (in particular Machine Learning and AI), but we are more passionate about solving problems for our customers. We strive to find the best solution, be it cutting-edge or old-school. Customer obsessed: We take every opportunity to talk to our customers. We obsess over their problems and work every day to make them happy. About the Role We are looking for an AI engineer who wants to help shape the future of private equity and our company. As an early stage engineer you will: Work directly with our founding team. Apply the latest AI techniques to solve real world problems. Design, build, and refine datasets to evaluate and continuously improve our products. Ship features that our users care about, wherever they are in the stack. Participate in strategy and product ideation sessions, influencing our product roadmap. Working at Capsa AI will be hard work, it will be messy and at times it will be stressful. However, you will: Experience the process of taking the company from 0.5 to 1. Shape the companys vision and will have a direct impact on its success. Have the opportunity for fast career growth. Have the opportunity to participate in the upside of an ultra-growth venture. Have fun Apply if: You have experience with our stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. You have hands-on experience working with LLMs, RAG architectures, NLP, or applying Machine Learning to solve real-world problems. You have a strong track record of building datasets for training and/or evaluating machine learning models. You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. You thrive in a fast paced environment. You like to take ownership and work independently. You are excited about joining an early-stage venture. Don’t apply if: You want to work on a single layer of the application. You prefer to work on well-defined problems. You need clear, pre-defined processes. You prefer a low-pressure environment. Additional Perks Private healthcare insurance. One month per year remote working. Budget for setting up your Home-Office.
