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19 часов назад

Senior Software Engineer (AI Engineering)

191 100CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Senior Software Engineer (AI Engineering): Driving AI adoption across hirify.global by partnering with engineering and non-engineering functions to identify, prototype, and scale high-impact AI automation solutions. Focus on applying GenAI techniques and ensuring alignment with security, privacy, and ethical guidelines.

Location: Toronto, Canada. In-person participation is required throughout the year for team and company-wide offsites.

Salary: $191,100 CAD

Company

hirify.global is on a mission to increase economic freedom in the world by building the emerging onchain platform and the future global financial system.

What you will do

  • Partner with teams to understand workflows, identify pain points, and translate business challenges into actionable AI use cases.
  • Design, build, and iterate on functional prototypes using GenAI techniques, including LLMs and Agentic AI, writing high-quality code in Python and Golang.
  • Collaborate with cross-functional teams to evolve prototypes into scalable, secure, production-grade AI solutions.
  • Provide guidance on AI capabilities, responsible AI usage, prompt engineering best practices, and strategic integration of AI.
  • Pilot new AI solutions with functional teams, gather feedback, iterate on prototypes, and support adoption to ensure demonstrable value.
  • Work with Security, Legal, and Compliance teams to ensure all AI solutions adhere to strict security, privacy, and ethical guidelines.

Requirements

  • 5+ years of experience in software engineering, with at least 6 months focused on applied AI, Generative AI, or intelligent automation.
  • Proven expertise in designing, building, scaling, and maintaining production services with a strong understanding of microservices architecture.
  • Strong technical skills in system design, coding, and debugging complex technical issues.
  • Understanding of LLM capabilities, limitations, and architectures.
  • Hands-on experience with AI tools and platforms.
  • Strong understanding of data privacy, security, and ethical considerations related to AI.

Nice to have

  • Prior experience building or implementing AI agents or advanced workflow automation solutions.
  • Prior experience building production ML/AI systems.
  • Prior crypto or fintech domain experience.

Culture & Benefits

  • Extended Health Care Benefit, Dental Care, and Vision Care.
  • Employee Stock Purchase Plan (ESPP).
  • Wellness Stipend and Mobile/Internet Reimbursement.
  • Learning and Development Allowance.
  • Generous Time off/Leave Policy.

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