[Remote] AI Trading Systems Engineer

Note: The job is a remote job and is open to candidates in USA. Kling Capital is building KAI, an AI-powered platform for automated trading strategies. They are seeking a sharp engineer to contribute to a live trading operation, focusing on execution reliability, AI research, and data infrastructure. Responsibilities Contributing to a live trading operation with multiple systems in production Live Trading Platform — Execution reliability, backtesting infrastructure, portfolio management AI Research App — An interactive platform where traders upload data and get AI-powered analysis through an agentic chat interface Autonomous AI Researcher — A fully autonomous system that takes a research seed, runs multi-hour experiments on dedicated cloud hardware, and discovers new trading strategies Data Infrastructure — Snowflake-backed pipelines and AWS infrastructure across many data sources, delivering to many endpoints Skills Exceptionally sharp. You pick things up fast and figure things out without hand-holding Grindset. You're intense and self-motivated. We can teach trading concepts and our stack — we can't teach drive AI-forward. You use AI tools daily and are quick to adopt the latest technologies Proficient with computers. Comfortable in a terminal, can read and write Python and/or TypeScript Portfolio that proves it. A GitHub/GitLab with real, recent activity Benefits Performance-Based Comp: Significant, tied to platform success Lifestyle is incredibly flexible, because outcomes are all that matter at Kling Capital. Company Overview House Kling is a privately held investment management company using today's latest advances in AI to place smart bets on the future. It was founded in undefined, and is headquartered in , with a workforce of 2-10 employees. Its website is