Role Overview

We’re looking for software engineers to chart the course of how AI is reshaping institutional finance. You’ll build AI Infrastructure (observability, agent orchestration, expert skills, tools as CLI’s and MCP, data orchestration, and UI component libraries) that are leveraged by some of the world’s most sophisticated hedge funds as part of their AI implementations, working directly with their investment teams to turn complex workflows into elegant, production-grade applications.

This role sits at the intersection of AI implementation and financial software. You won’t just use AI tools – you’ll build AI-powered features directly into client platforms: LLM-driven research intelligence, agentic workflows, MCP-connected data sources, and automation layers that compress weeks of analyst work into seconds. The ideal candidate is a strong full-stack engineer who is fluent in modern AI tooling and deeply curious about how hedge funds and asset managers think, invest, and operate.

Speed is a core part of the job. Our model is to deliver fully customized platforms in weeks, not months, which means you need to ship with conviction, iterate based on real user feedback, and know when to build from scratch versus leverage proven infrastructure.

Key Responsibilities

AI-Powered Feature Development: Build LLM-powered features directly into client-facing platforms, including research intelligence tools, natural language query layers, automated summarization, and agentic workflows that fundamentally change how investment teams work
Agentic Tooling & MCP Integration: Design and implement MCP-connected data sources, agentic pipelines, and AI orchestration layers using frameworks like Claude Code, LangGraph, Open Claw, Open Code and similar, extending client platforms with live, intelligent data access
Full-Stack Application Development: Build end-to-end applications tailored to each client’s unique portfolio analytics, risk management, and research workflows—from backend APIs to responsive frontends

Hedgineer is building the AI platform for hedge funds and asset managers. We deploy software and custom workflows that make funds AI-native — connecting their data, encoding their expertise into agents and skills, and automating their highest-value workflows. The firms that are winning with AI aren't using better models. They have a more thoughtful ecosystem around them, and that's what we build.

Unlike most AI startups, we're cash-flow positive and client-funded — our growth comes from the trust of our clients, the value we deliver, and the exceptional caliber of our team.

Our team combines engineers from top institutions across finance (Citadel, Goldman Sachs, Millennium, D.E. Shaw, Two Sigma, and Bridgewater) and technology (leading data and AI startups) with forward-deployed specialists who embed directly with clients to automate real workflows. We sit at the intersection of deep finance domain knowledge and cutting-edge AI engineering — closing the gap between what AI can do and what funds are getting out of it.

Applied AI Engineer

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