Artificial Intelligence Engineer

Capsa AI
London
10 months ago
Applications closed

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Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

At a Glance
Capsa AI uses AI agents to accelerate due diligence and deepen insights for Private Equity funds. We are hiring talented AI Engineers experienced in building, shipping, and evaluating production agentic / generative systems.
Location : London, UK (Hybrid, In-person 4 days per week)
Experience

Required : +4 years
Remuneration : £75k → £100k + Generous ESOP
Visa : Unfortunately, we don’t sponsor visas yet. You must have the right to work in the UK.

Have you got the right qualifications and skills for this job Find out below, and hit apply to be considered.

About Capsa AI
Empowering Private Equity with Advanced AI – Capsa AI is a system that aggregates, structures, and generates insights from company and market data. We incorporate both public and private data within a specialised knowledge graph which can be traversed by AI agents.

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 experienced AI engineers 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 company's 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 building, evaluating and shipping AI products.
You have hands-on experience working with LLMs, Agents, RAG, NLP, or applying Machine Learning to solve real-world problems.
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.

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