Applied AI Engineer
Core
Build agentic process automation, prediction models, and document intelligence pipelines to solve business problems across the firm.
Role type
Applied AI Engineer (Agentic Systems & ML)
Builds
Production AI agents, forecasting models, and document extraction pipelines for trading, risk, and operations.
Domain
Alternative Investment / Financial Services
Deliverable
production ML models
Required skills
Python, LLMs and agentic orchestration, supervised ML, data engineering, knowledge graphs, entity resolution
Preferred skills
Finance domain knowledge, experience with messy heterogeneous data
Technologies
Python, LLMs, knowledge graphs
Responsibilities
Reverse-engineer manual workflows and build reliable agents; build forecasting and anomaly detection models; develop document intelligence pipelines; embed with business teams to scope and deploy solutions; turn proven solutions into reusable capabilities.