Description
We're looking for an experienced backend Python / data science / AI-oriented software engineer to lead backend development of our AI-powered stock trading analytics platform. We're backed by a major YouTuber with 500k+ subscribers and we need a beast who will go hard with our team. Think Claude, but for stock trading. We have 100+ users live on the platform right now and a waitlist of 100,000. What you're building Data pipeline — seed and maintain historical + streaming data from Polygon.io and Databento. Equities and options, ticks through daily bars, corporate actions, point-in-time universes. REST APIs — FastAPI on Postgres/TimescaleDB, serving backtests, strategies, and results to web and mobile. Has to stay fast at 100x the read volume. Backtesting engine — realistic fills, slippage, commissions, position sizing, risk metrics. If the numbers are wrong we have no product. The AI layer — natural language → executable strategy, LLM explanations of backtest results, news/earnings/filings turned into structured features, and agents that hypothesize and test strategies at scale. Technology you need Python at a senior level, in production FastAPI (or Django) REST APIs on Postgres; TimescaleDB a strong plus Real market data pipelines — you know why adjusted close ruins a backtest Pandas / Polars / DuckDB on large datasets LLMs beyond chatbot demos: structured output, tool use, evals, cost control Enough frontend to wire your own endpoints into the app What this is Contract-to-hi