Applied AI Engineer
Core
Building AI agents, workflows, and models to solve hard compliance problems in financial crime and risk management.
Role type
Applied AI Engineer (notebooks-first, research-oriented)
Builds
AI agents, agentic workflows, name-matching models, classifiers for adverse media
Domain
Financial services, compliance, anti-money laundering (AML), sanctions screening
Deliverable
production ML models
Required skills
LLM fine-tuning, agent orchestration, prompt engineering, dataset curation, evaluation framework design, multilingual NLP
Preferred skills
Experience with adversarial data, scientific rigor in ML, handling messy/incomplete data
Technologies
LLMs, embedding models, proprietary compliance datasets
Responsibilities
Build AI agents and agentic workflows; fine-tune and train language/embedding/classifier models; engineer and iterate on prompts for LLM features; construct and curate high-quality training/evaluation datasets; design rigorous evaluation frameworks and metrics; validate AI systems against real-world edge cases
Seniority
Junior-to-senior spectrum