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7 часов назад

Senior Software Engineer (AI)

140 000 - 196 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 state-of-the-art LLM-powered agents at scale with an accent on multi-agent orchestration, retrieval pipelines, and evaluation frameworks. Focus on designing production-grade AI systems that ensure measurable, trustworthy outputs while optimizing for latency and cost.

Location: Must be based in or able to work from Vancouver, Toronto, or London. This is an office-first hybrid role requiring presence in the office on Mondays, Wednesdays, and Thursdays.

Compensation: CA$140,000 – CA$196,000 + Equity

Company

hirify.global is an AI-first product company helping organizations generate market, competitor, and buyer insights through an automated, unified platform.

What you will do

  • Design and ship backend systems for agentic workflows, including retrieval pipelines and multi-step architectures.
  • Optimize LLM-powered workflows for accuracy, latency, and reliability in production.
  • Develop and operate evaluation frameworks to measure relevance and task success at scale.
  • Build human-in-the-loop systems to ensure AI agents remain trusted and accurate over time.
  • Collaborate with product and data teams to align technical direction with customer outcomes.
  • Evaluate and integrate advancements in LLMs and retrieval architectures to keep the platform on the frontier.

Requirements

  • Must be located in or able to work from Vancouver, Toronto, or London.
  • Proven experience building and operating production-grade backend systems.
  • Experience building or evaluating agentic/LLM-powered systems (RAG, multi-step workflows).
  • Strong proficiency in Python and backend frameworks.
  • Experience with search/retrieval systems (e.g., Elasticsearch, Pinecone, PGVector).
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and handling high-scale data volumes.

Nice to have

  • Experience designing multi-agent systems or complex orchestration workflows.
  • Contributions to AI/ML open-source projects.
  • Strong understanding of ML fundamentals (precision, recall, bias-variance tradeoff).

Culture & Benefits

  • Comprehensive health and dental coverage starting on Day 1.
  • Employee Stock Option Plan participation for all full-time employees.
  • Flexible vacation policy.
  • AI-first culture with encouragement to use AI tools to accelerate development.
  • Office-first hybrid environment with dog-friendly spaces in Vancouver and Toronto.
  • Regular social connection events and annual company-wide kickoff.

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