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Fullstack AI Engineer (GenAI)

50 000 - 70 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR
Fullstack AI Engineer (GenAI): Designing and developing full-stack applications that power GenAI platforms and LLM-based features with an accent on API design, performance, and scalability. Focus on building Agentic systems, integrating with various AI model endpoints, and optimizing backend systems for reliability.

Location: Montreal, Canada; on-site

Salary: $50,000–$70,000 per year

Company

hirify.global provides commerce tools and services that help video game developers fund, distribute, market, and monetize their games.

What you will do

  • Design and develop full-stack applications that power GenAI applications and platforms.
  • Build APIs and infrastructure for LLM-based features, tools, and agent workflows.
  • Develop responsive frontend applications with Next.js, API routes, Tailwind CSS, and related libraries.
  • Write clean, scalable, and secure code in Python and TypeScript.
  • Work with vector databases, data pipelines, and AI model endpoints including OpenAI, Anthropic, and Hugging Face.
  • Collaborate with frontend, ML, and product teams while optimizing systems for performance, scalability, and reliability.

Requirements

  • 1–3 years of full-stack development experience.
  • Proficiency in Python and TypeScript.
  • Strong experience with REST APIs, microservices, and scalable cloud infrastructure.
  • Experience building or supporting GenAI applications or LLM-powered products.
  • Comfort working with agentic systems and AI tools.
  • Exposure to AWS, GCP, or Azure, as well as Docker and Kubernetes; strong problem-solving, communication, and collaboration skills.

Nice to have

  • Experience building and scaling AI-powered SaaS products.
  • Contributions to open-source GenAI projects.
  • Understanding of context engineering and agent orchestration frameworks.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Paid time off.
  • Personalized career roadmap.
  • Training and educational opportunities.
  • Supportive and inclusive work environment focused on employee and family well-being.

Hiring process

  • Background checks may include criminal history, employment, and education verification.
  • AI tools may support application review and assessment, with final decisions made by people.

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