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1 день назад

Full-Stack Engineer (AI)

150 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
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
Full-Stack Engineer (AI) (React/Python): Building and scaling LLM-based agentic applications for regulated financial institutions with an accent on enterprise-grade full-stack systems, production AI workflows, and secure cloud deployment. Focus on designing end-to-end AI solutions, deploying applications in customer environments, and ensuring performance, security, and observability.

Location: NYC-Metro, United States; hybrid

Base compensation: $150,000–$220,000 per year, plus annual bonus and equity.

Company

hirify.global builds enterprise agentic intelligence for financial services, enabling regulated institutions to run traceable AI workflows within their controls and audit boundaries.

What you will do

  • Build enterprise-grade applications with React and Python on public cloud platforms.
  • Design end-to-end AI solutions with founders and clients, translating workflows into production-ready products.
  • Own the full stack, from architecting Python backend services to deploying systems on AWS, Azure, and GCP.
  • Deploy applications in customer environments and maintain performance, security, and observability standards.
  • Make autonomous technical decisions in an early-stage, 0-to-1 environment and contribute as a founding hire.

Requirements

  • 5–10 years of software engineering experience with strong ownership of production systems.
  • Expertise in Python, React, databases, security, data engineering, logging, observability, and cloud platforms.
  • Ability to work in ambiguous environments and design products without fully defined mockups.
  • Strong product intuition, user empathy, and customer focus.
  • Willingness to work cross-functionally and directly with clients.

Nice to have

  • Experience with fintech, enterprise SaaS, or regulated data systems.
  • Experience building AI applications in production.
  • Consulting or finance background.
  • Experience leading major technical initiatives or mentoring engineers.
  • STEM degree.

Culture & Benefits

  • Work directly with the founders and own key technical decisions from day one.
  • High-trust, fast-paced environment with immediate impact from technical contributions.
  • Annual bonus and equity in addition to base compensation.
  • Equal opportunity workplace committed to diversity and non-discrimination.

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