Applied AI Engineer
Core
Build production AI agents and ML models for real-time decisioning, risk management, and customer engagement in a governed AI platform.
Role type
Senior Applied AI Engineer (AI Agents & ML)
Builds
Production SQL BI analyst agents, customer-facing RAG agents, risk-stratified tool layers, and decision audit dashboards.
Domain
Web3, iGaming, and Decentralized Financial Infrastructure
Required skills
LLM-powered agent development, RAG system implementation, production ML lifecycle ownership, statistical rigour, Python, TypeScript, SQL
Preferred skills
Fraud/risk/abuse detection experience, experiment design, evaluation harnesses for non-deterministic systems
Technologies
LangGraph, Anthropic Agent SDK, Model Context Protocol (MCP), Kafka, MSK, ClickHouse, Slack
Responsibilities
Build and own analyst agents translating natural language to governed SQL; extend into customer-facing agents with intent triage and RAG; build risk-stratified tool layers between agents and APIs; ship production ML models for churn, risk scoring, and anomaly detection; design supervisor surfaces and approval interfaces for agents.
Seniority
Senior, hands-on IC