Overview

We are building the next Berkshire Hathaway with AI, starting with financial services, that combines proven business-building strategies with cutting-edge AI solutions to maximize automation. The financial services industry has significant potential for AI augmentation, a lack of tech investments, attractive scale-up characteristics, and macro trends in our favor. With excellent execution, our platform will achieve industry-leading profitability, capital efficiency, and rapid scalability.

We are well-capitalized, having completed our raise from several institutional VC firms and multi-billion-dollar family offices and angel investors, including executives and founders from some of the world’s largest private equity and investment banking firms - such as Blackstone, KKR, and Moelis. Our board members and advisors include a former state governor and a former Blackstone investor/operator with multiple successful exits.

We are seeking our founding engineer to play a pivotal role in our product development and deployment. In partnership with the CTO, this individual will help build our agentic systems and solutions. They will also collaborate with our CEO and heads of services to design and deploy best-in-class AI automation within our businesses, setting a new standard for efficiency and productivity.

This is an in-person role in our NYC-based office, literally sitting next to the users of the tools and solutions you will be building.

Key Responsibilities

• Work across the entire product lifecycle from conceptualization to deployment.
• Experiment with, and push the bounds of LLMs for workflow automation.
• Build and implement tools and processes necessary to monitor model behavior and performance.
• Collaborate with the internal services teams to deploy and iterate the tools and solutions for end-to-end workflow automation.

Core Skills and Qualifications

• Senior or staff level.
• Full stack development experience.
• 0-1 experience, building in a dynamic and scrappy environment.
• Experience building statistical, AI/ML-based products.
• Experience and/or strong interest in LLMs, agent architectures, information theory, and RL.
• Strong product intuition and problem solving skills.
• Strong drive for excellent execution across multiple disciplines.
• Willingness and excitement to lay the technical and cultural foundation of the company
• Thoughtful, hard-working, and kind.

Nice-to-haves

• A strong vision for autonomous agents in the financial services industry.
• Experience with fine tuning, instruction tuning, or other methods of improving LLM performance.
• Experience with RPA and enterprise SaaS product/solution integrations.