LLM-Driven Investment Analytics Engineer

Hedgineer; New York (NY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Hedgineer is seeking an experienced full-stack engineer to build LLM-powered features and agentic workflows for investment workflows.

You will design MCP-connected data sources and pipelines using Claude Code and LangGraph, delivering end-to-end Python APIs and React frontends tailored to portfolio analytics and research.

Qualifications

• 3+ years of full-stack experience with Python and React.
• Interest in agentic systems and AI orchestration.
• Experience with cloud platforms and data analytics.

Responsibilities

• Build LLM-powered features like client-facing research intelligence tools, natural language query layers, and agentic workflows for investment teams.
• Design and implement MCP-connected data sources and agentic pipelines using Claude Code and LangGraph.
• Build full-stack applications end-to-end with Python APIs and React frontends for portfolio analytics.
• Develop and maintain ETL pipelines handling financial market data with reliability and performance.
• Collaborate with hedge fund teams to gather feedback and deliver solutions in weeks, not months.

Skills

Python

React

FastAPI

SQL

Polars/Pandas

Cloud platforms (Azure/AWS/GCP)

Communication

AI/agentic systems interest

Education

Bachelor's or Master's degree in Computer Science or a comparable discipline

Tools

Claude Code

LangGraph

MCP servers

RAG

FastAPI

React

Job description

• 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