About the job
Join us as a Founding Software Engineer with extensive full-stack development expertise to shape the future of our innovative AI platform tailored for market due diligence. You will take full ownership of developing features from the ground up—spanning AI-driven backend systems to sleek frontend interfaces utilized by investment professionals in Private Equity, Hedge Funds, Private Credit, and Corporate M&A to guide billion-dollar decisions.
About DiligenceSquared
DiligenceSquared revolutionizes commercial due diligence for Private Equity funds. Backed by Y Combinator, we recently secured a substantial Seed round, and our clientele includes some of the largest PE funds globally.
The market is valued at over $10 billion annually, with PE funds investing $500,000 to $1 million per report with firms like McKinsey, BCG, and Bain. Our AI solutions provide these services faster, more cost-effectively, and with superior accuracy compared to traditional methods.
Our founders have firsthand experience in this domain, having traded these reports while holding senior positions at Blackstone and BCG. We possess profound insights into the workflows and are now focused on automating these processes.
Your Responsibilities:
Develop new product features and user experiences end-to-end, from database schemas to API endpoints, and integrate them with UI components for our web application and AI Voice Agent.
Design and build AI-powered modules from scratch (e.g., market sizing, competitive analysis) that will be integral to our research platform.
Establish and manage product foundations across the stack, including AI agent orchestration, voice AI pipelines, interactive data visualizations, application and API performance, and intelligent automations.
Incorporate lessons learned from every project into the product development, ensuring continuous incremental improvements (the Law of Compounding is critical, especially for a company founded by investment experts).
Qualifications:
Minimum of 3 years of professional full-stack development experience.
Strong command of React/TypeScript and Python.
Experience in developing intelligent systems using LLM platforms (e.g., Anthropic, OpenAI).
Extensive hands-on experience with LLMs in production, focusing on building reliable intelligent systems.
Proficient with PostgreSQL and SQL database architecture.
Familiarity with modern frontend architecture, state management, and API design.

