AI Engineer, Multi-Asset Arbitrage
Core
Build research, analytics, and risk applications combining software engineering with practical AI knowledge to support investment workflows.
Role type
Senior IC AI engineer (quantitative finance)
Builds
Data pipelines, AI-enabled platforms, APIs, and data integrations for investment research and risk
Domain
Financial services / Quantitative trading / AI
Deliverable
production ML models
Required skills
Python or Rust, SQL, API design, automated testing, CI/CD, LLM APIs, retrieval, tool calling, structured outputs, model evaluation
Preferred skills
RAG or agent workflows, applied statistics, machine learning, financial datasets, cloud platforms (AWS), Docker, Kubernetes, FastAPI, vector databases
Technologies
Python, Rust, SQL, OpenAI, Anthropic, AWS, Docker, Kubernetes, FastAPI, React, TypeScript
Responsibilities
Design and build data pipelines and AI-enabled platforms; Work with portfolio managers and quants to define requirements; Build APIs and data integrations; Own applications from prototype through production; Integrate LLMs and document retrieval
Seniority
Senior, hands-on IC
