Applied AI Engineer
Core
Build and rapidly prototype AI-driven workflows and applications for financial crime risk management, combining internal and public data to assess risk in KYC, CDD, and AML processes.
Role type
Applied AI Engineer (IC)
Builds
Independent AI-driven workflows, prototype applications, and SaaS features for financial institutions and government agencies.
Domain
Financial services / Anti-Money Laundering (AML) / Fraud Risk Management
Deliverable
production ML models | product features
Required skills
Python, JavaScript/React, PostgreSQL, AI coding tools (Claude Code, GPT/Codex, Cursor, Windsurf), multi-agent workflows, test-driven development, product requirement gathering
Preferred skills
Spark/PySpark, Scala, R, large-scale data tooling, portfolio of proven work
Technologies
Python, JavaScript, React, PostgreSQL, Spark, PySpark, Scala, R
Responsibilities
Rapidly prototype and iterate on applications with stakeholders, build apps from scratch within given frameworks, manage the evolution of prototypes into production, perform quality assurance and test-driven development, innovate ways to increase team velocity using AI
Seniority
Mid-Senior, hands-on IC
