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Applied AI Engineer (Agentic AI / Full-Stack) - Institutional Finance

United States
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Build AI-powered features and agentic AI infrastructure for customized platforms serving hedge funds and institutional investors. Responsibilities include LLM-driven feature development, MCP and agentic tooling integration, full-stack development with Python and React, and data pipeline and Kubernetes deployments. Requires 3-8 years of applied AI engineering experience, strong Python skills, and hands-on LLM, MCP, and agentic framework expertise.

Key Highlights
Salary range of $200K - $250K with competitive equity
Hybrid work: in-person 4 days per week (Wednesday remote) at Bryant Park, NY
Open to visa transfers (e.g., OPT, H1B transfers)
Build AI infrastructure leveraged by sophisticated hedge funds, shipping in weeks not months

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Key Responsibilities
Build LLM-powered features directly into client-facing platforms, including research intelligence tools, natural language query layers, automated summarization, and agentic workflows
Design and implement MCP-connected data sources, agentic pipelines, and AI orchestration layers using frameworks like Claude Code, LangGraph, and OpenClaw
Build end-to-end full-stack applications tailored to each client's portfolio analytics, risk management, and research workflows
Design and maintain high-performance backend APIs using Python (FastAPI or similar) for data access, analytics, and AI inference
Build intuitive, responsive user interfaces in React for investment teams to interact with complex financial data
Build and maintain ETL pipelines handling critical financial market data with reliability and performance
Implement analytics layers for performance and risk calculations using timeseries and linear algebra operations (Pandas, Polars)
Deliver working software in compressed timelines, gather direct user feedback, and continuously iterate
Work fluidly with Kubernetes within each client environment to ship fast and reliably
Document technical designs, mentor team members, and stay current with emerging AI frameworks and best practices
Technical Skills Required
Python React Large Language Models

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Benefits & Perks
Salary of $200K - $250K
Competitive equity
Hybrid work policy (4 days in-office, Wednesday remote)
Visa transfer support (OPT, H1B)

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Nice to Have
Relevant institutional investor and/or fintech experience (e.g., Two Sigma, DE Shaw, Citadel, P72, Addepar) or other data-first and quantitative fields

Job Description

Role Overview 

One of our start-up clients is 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. 

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Job Overview
Posted Sep 02, 2026
Employment Other
Experience Entry level
Location United States
Category Programming
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