Applied AI Engineer

Build LLM-powered features like client-facing research intelligence tools, natural language query layers, and agentic workflows that fundamentally change how investment teams work Design and implement MCP-connected data sources and agentic pipelines using frameworks like Claude Code and LangGraph Build full-stack applications end-to-end, high-performance Python APIs and intuitive React frontends tailored to each client's portfolio analytics and research workflows Develop and maintain ETL pipelines handling financial market data with reliability and performance Work directly with hedge fund teams to gather feedback, iterate fast, and deliver custom solutions in weeks, not months What we’re looking for

Bachelor's or Master's degree in Computer Science or a comparable discipline 3+ years of full-stack experience with strong Python (FastAPI) and React Familiarity with and genuine interest in agentic systems, how LLMs, agentic tooling, and AI orchestration are reshaping software Experience with SQL, Polars/Pandas, OLAP databases, and cloud platforms (Azure/AWS/GCP) Deep curiosity about how hedge funds and asset managers think, invest, and use technology Excellent communicator comfortable working directly with non-technical users Strongly preferred: hands-on AI implementation experience (LLM APIs, MCP servers, LangGraph, RAG); financial data systems or portfolio analytics exposure

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