We are partnering with a leading hedge fund to hire an Applied AI Engineer to sit at the intersection of investment teams and advanced technology.
This role is focused on building and deploying AI-driven solutions that directly enhance decision-making across trading, research, and operations. You will design and implement applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), and intelligent automation to streamline workflows, extract insights from structured and unstructured data, and create internal copilots for portfolio managers and analysts.
This is a highly visible role where you will work closely with front-office stakeholders to rapidly prototype, iterate, and scale solutions that deliver measurable impact.
The ideal candidate has hands-on experience developing and integrating AI systems in production environments, with strong proficiency in Python and experience working with modern AI frameworks (e.g., LangChain, vector databases, API-based model integrations).
Exposure to financial data, market structure, or investment workflows is highly preferred. You should be comfortable operating in a fast-paced, research-driven environment, translating ambiguous business problems into scalable technical solutions.
Experience with cloud platforms (AWS or Azure), data pipelines, and deploying secure, high-performance applications is key.
This is an opportunity to join a high-performing team at a fund investing heavily in AI as a core competitive advantage.
