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6 часов назад

AI Engineer (Fintech)

150 000 - 350 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AI Engineer (Fintech): Building and deploying production-grade AI agents for financial audits with an accent on LLM pipelines, document parsing, and backend infrastructure. Focus on shipping zero-to-one systems, iterating on real-world data, and solving complex automation challenges in a fast-paced startup environment.

Location: Must be based in New York, NY (On-site)

Salary: $150,000–$350,000

Company

hirify.global is an early-stage, execution-focused startup backed by Lightspeed Venture Partners, building Agentic AI to modernize and streamline financial audits.

What you will do

  • Build and deploy AI agents that parse documents, extract entities, cross-check financials, and complete end-to-end workflows.
  • Work across the full stack, from Python backends and vector stores to browser-based agents and internal tools.
  • Ship production-grade features rapidly, iterating on v1s and compounding wins based on real-world usage.
  • Own zero-to-one systems and outcomes directly with design partners and founders.
  • Evaluate and integrate emerging AI frameworks, tools, and best practices.

Requirements

  • Strong builder instincts with a track record of end-to-end ownership.
  • Experience shipping AI, infrastructure, or backend features, preferably using Python.
  • Practical experience or deep interest in LLMs, Agent Frameworks, RAG, browser automation, or document parsing.
  • Bias for action, comfort debugging in production, and a willingness to handle any task from scraping to deployment.
  • Must be able to work on-site in New York City.

Culture & Benefits

  • Competitive base salary and meaningful early-stage equity.
  • Full healthcare benefits.
  • In-person office environment in NYC with team meals.
  • Fast iteration cycles and direct exposure to real users and financial data.

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