Artificial Intelligence Engineer

Job Description

Elite multi-strategy hedge fund manager that invests globally in a wide array of assets and strategies, is seeking an elite Agentic AI Research Engineer to play a key role in the ongoing development and enhancement of their investment process.

Do not need financial experience to apply, but of course it is welcome. Candidates from AI research arms/divisions of notable bigtech companies and/or AI start-ups with elite VC backing are very welcome to apply.

This Engineer will be embedded in investment teams to augment their investment process through designing and building multi-agent frameworks by developing deep understanding of each business and leveraging cutting-edge methods.

This is a Full Stack role that will encompass the building of foundational infrastructure and developing robust data pipelines through agentic design.

Responsibilities:

Work with investment teams to find solutions to their most vexing challenges, applying agents to assist in solving problems
Design, build, and integrate a multi-agent AI framework that can orchestrate deep research in and across vastly different subject matter and domain expertise
Implement rigorous quantitative benchmarks for large scale agentic tasks
Assist with automated evaluation of AI models and prompts across a wide variety of project and investment teams
Help create and optimize data mixes for model training that maximize agent performance or ease of use on agentic tasks

Requirements:

0>1 builder who is comfortable with uncertainty, operates with high agency, and excels at rapid iteration and shipping
Experience developing complex agentic systems using LLMs with an emphasis on agentic harness design (e.g., communication architectures for agents)
Successfully demonstrated the ability of taking a product from conception to completion
Understanding of LLM-as-judge, reward hacking, specification gaming robustness problems
Have strong Python skills and can build robust infrastructure across the stack