Artificial Intelligence Engineer

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