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2 дня назад

Senior Fullstack Engineer (AI)

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

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TL;DR

Senior Fullstack Engineer (AI): Building and scaling AI-powered enterprise features for revenue teams with an accent on agentic architectures and LLM orchestration. Focus on designing RAG pipelines, optimizing LLM performance, and developing scalable fullstack web applications.

Location: Remote based in Canada

Company

hirify.global builds AI-powered tools that help revenue teams globally sell smarter through collaborative and remote-first engineering.

What you will do

  • Design and integrate AI workflows into customer-facing products using agentic architectures (MCP) and orchestration frameworks like LlamaIndex and LangChain.
  • Optimize LLM-powered features for performance, scalability, and cost-efficiency using prompt engineering and retrieval-augmented generation (RAG).
  • Develop scalable, observable, and maintainable fullstack web application features.
  • Architect and implement APIs, databases, and cloud services to support AI and traditional product functionality.
  • Lead the full SDLC, breaking down complex, ambiguous problems into actionable technical initiatives.
  • Mentor other engineers and champion high engineering quality, security, and maintainability.

Requirements

  • Must be based in Canada.
  • 5+ years of software engineering experience, with at least 2–3 years building SaaS products.
  • Fullstack proficiency in Python, Node.js, and React (or similar modern frameworks).
  • Hands-on experience with search technologies like OpenSearch or Elasticsearch.
  • Experience developing AI systems (LLM integrations, vector databases, RAG pipelines, or agent-driven projects).
  • Proven track record in system design, building scalable and secure architectures.

Nice to have

  • Familiarity with AI agent protocols (MCP, A2A) and embedding design.
  • Exposure to AWS cloud infrastructure and DevOps practices.
  • Experience with observability tools like Datadog or Grafana.
  • Hands-on experience building and maintaining CRM integrations.
  • A product mindset focused on user experience and business impact.

Culture & Benefits

  • Remote-first work environment with flexible working hours.
  • Competitive salary, health benefits, and a remote stipend.
  • Generous Paid Time Off and paid parental leave.
  • Transparent career paths and growth opportunities in AI and DevOps.

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