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3 дня назад

AI Fullstack Software Developer (AI)

Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Europe/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Fullstack Software Developer (Python/LLM/RAG): Building internal AI and machine learning systems, scalable RAG infrastructure, and LLM evaluation frameworks to improve productivity across a trading firm with an accent on full-stack development, distributed systems, and production reliability. Focus on designing agentic AI solutions, evaluating model quality, integrating APIs and microservices, and taking projects from conception through operational handoff.

Location: Montréal, Canada preferred; remote considered for the right candidate

Company

hirify.global is a diversified trading firm using sophisticated technology across traditional and non-traditional asset classes, including cryptoassets.

What you will do

  • Build internal systems and tooling powered by AI and machine learning.
  • Architect scalable retrieval-augmented generation (RAG) systems using current research and implementations.
  • Design LLM evaluation frameworks to measure model quality and performance.
  • Collaborate with traders, researchers, and engineers to define and deliver critical features.
  • Drive projects from technical planning and execution through production deployment and operational handoff.
  • Maintain reliability through monitoring, alerting, proactive maintenance, code reviews, and documented code.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or Software Engineering.
  • 4–7+ years of experience building production software systems, with demonstrated technical leadership.
  • Strong full-stack development experience with modern web frameworks and backend services.
  • Proficiency in Python is required, plus experience with Go, Rust, C++, or Java.
  • Deep understanding of API design, microservices, distributed systems, Docker, orchestration platforms, databases, and message queues.
  • Hands-on experience with LLMs, RAG architectures, and agentic AI systems, plus strong communication skills.

Culture & Benefits

  • Work in an environment emphasizing autonomy, innovation, integrity, and high expectations.
  • Collaborate across trading, research, engineering, and AI teams.
  • Research emerging technologies and contribute ideas for new tools and technology adoption.
  • Opportunity to work on systems supporting markets and teams across global offices.

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