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2 дня назад

Senior Software Engineer (AI)

145 000 - 183 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/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 Software Engineer (AI): Building and optimizing LLM-powered agents at scale with an accent on multi-agent orchestration, sub-agent design, and evaluation frameworks. Focus on optimizing the full stack, including inference costs, retrieval performance, and feedback loops to ensure agent reliability and accuracy.

Location: Office-First with hybrid touch (Mondays, Wednesdays & Thursdays in-office) in Vancouver, Toronto, or London.

Salary: CA$145K - CA$183K

Company

hirify.global is an AI-first company building a competitive intelligence platform that generates market, competitor, and buyer insights for revenue teams.

What you will do

  • Design and build backend systems for agentic workflows, including retrieval pipelines and orchestration layers.
  • Optimize LLM-powered workflows, focusing on prompt design, caching, and latency reduction.
  • Develop and operate robust evaluation frameworks (automated and human-in-the-loop) to measure agent success.
  • Implement human-in-the-loop systems to ensure AI outputs remain trusted and accurate.
  • Collaborate with product and data teams to align technical architecture with customer needs.
  • Evaluate and integrate cutting-edge advances in LLMs and retrieval architectures.

Requirements

  • 5+ years of experience building and operating backend systems in production.
  • Proven experience building or evaluating agentic/LLM-powered systems and retrieval-augmented generation.
  • Strong proficiency in Python and familiarity with backend frameworks, APIs, and production infrastructure.
  • Experience with search/retrieval systems such as Elasticsearch, Pinecone, or PostgreSQL.
  • Familiarity with cloud infrastructure (GCP/AWS/Azure) for scalable, high-availability systems.
  • Must be based in or able to commute to Vancouver, Toronto, or London.

Nice to have

  • Experience designing multi-agent systems or complex orchestration workflows.
  • Contributions to AI/ML open-source projects.
  • Understanding of ML fundamentals like precision, recall, and bias-variance trade-offs.

Culture & Benefits

  • High-performance, AI-first culture with direct access to leadership.
  • Comprehensive extended health and dental benefits starting on Day 1.
  • Equity participation via the Employee Stock Option Plan.
  • Flexible vacation policy (Take The Time You Need).
  • Supportive office environment with top-tier tools and dog-friendly spaces.
  • Regular social connection through hub events and annual company-wide kickoffs.

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