AI Engineer
Core
Identify, scope, and prioritize AI use cases across Finance, Operations, and Risk; engineer production-grade AI agents, RAG systems, and deterministic automations; maintain AI governance inventory and operational practices.
Role type
Senior IC AI Engineer (Finance & Automation)
Builds
Production AI agents, RAG systems, deterministic automations, data substrates (feature views, document indexes), and an innovation lab environment.
Domain
Regulated financial services (Crypto/Fintech) + Generative AI & Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
LLM application engineering (structured extraction, agentic patterns), Python (production code), SQL (window functions, joins), orchestration (Dagster, Airflow, Prefect), transformation frameworks (SQLMesh, dbt), LLM evaluation discipline, cloud infrastructure (GCP/BigQuery)
Preferred skills
Experience in regulated environments, prompt engineering at scale, knowledge of model risk management
Technologies
Python, SQL, Dagster, SQLMesh, dlt, GCP, BigQuery, Git
Responsibilities
Collaborate with stakeholders to identify and prioritize high-impact AI use cases; build and maintain production data solutions and AI agents; manage firm-wide AI inventory and operational approval processes; contribute to ELT pipelines and data substrates for AI workloads; conduct technical reviews of new AI initiatives.
Seniority
Senior, hands-on IC