Description:

Design and ship production agent systems for automating KYB, underwriting, and risk decisions on regulated financial data.
Own end-to-end architecture, retrieval, tools, evaluations, and production deployment of agents.

Requirements:

5+ years of software engineering experience, with 2+ years in production LLM or agentic systems.
Hands-on experience with modern agent frameworks (LangGraph preferred) and production MLOps fluency.
Strong Python skills; comfortable with TypeScript/Node.js.
Experience in fintech, lending, payments, KYB/KYC, fraud, or AML.
Background in classical ML and designing explainable AI workflows for regulated environments.

Skills