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We are hiring an AI infrastructure engineer. Equity role. Founding stage. 10–15% ownership.
Student One Causal Networks builds statistical enumeration engines for quantitative finance — exhaustive, explainable computation across thousands of indicator configurations on OHLCV time series. Not signals. Not strategies. Empirical research infrastructure.
We are in advanced discussions with one of the top three AI companies in the world to make our engine natively accessible to their agent ecosystem. We cannot name them publicly. We will share everything with serious candidates directly.
The core problem: large language models cannot answer quantitative finance research questions today. The data exists. The compute exists. The missing piece is a properly structured interface between our engine and an AI agent’s reasoning loop. That is what you will build.
We need someone who has worked with agent-tool architectures — MCP, function calling, GPT Actions, tool-use APIs, OpenAPI spec design — and understands what it means to build software that sits on the other end of an agent’s tool call.
10–15% equity. No salary. You own this entirely.
Dashboard.studentone.tech
DM me with what you have built.