Applied AI Engineer
Hedgineer
- 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
Vacancy posted 16 hours ago
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