Applied AI Engineer

Hedgineer; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Hedgineer is seeking a capable Full-stack Engineer in Bengaluru to build end-to-end AI-enabled analytics tools for hedge funds. You will develop Python (FastAPI) backends and React frontends, create data pipelines, and collaborate with hedge fund teams to rapidly deliver tailored solutions.

The role emphasizes hands-on AI implementation, scalable data sources, and modern ML tooling within a fast-moving, client-focused environment.

Qualifications

• 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.

Responsibilities

• Build LLM-powered features like client-facing research intelligence tools, natural language query layers, and agentic workflows.
• Design and implement MCP-connected data sources and agentic pipelines using Claude Code and LangGraph
• Build full-stack applications end-to-end, high-performance Python APIs and intuitive React frontends tailored to 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

Skills

Python (FastAPI)

React

Full-stack development

AI integration

LLMs & tooling

Tools

SQL

Polars/Pandas

OLAP databases

Azure/AWS/GCP

Claude Code

LangGraph

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

• 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