Applied AI Engineer

Hedgineer

New York (NY)

Hybrid

USD 140,000 - 210,000

Full time

14 days+
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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
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