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14 часов назад

Staff Agentic AI 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

Staff Agentic AI Engineer (AI): Building a core agentic factory platform that enables customers to define and build customer-specific agents with an accent on modeling enterprise knowledge as structured graphs. Focus on architecting complex agent workflows involving reasoning, tool use, retrieval, and building robust LLM evaluation systems.

Location: Remote (Canada)

Company

hirify.global is an AI company focused on building enterprise automation and agentic AI platforms for brand interactions.

What you will do

  • Design and implement production-grade AI agentic systems and workflows involving reasoning, tool use, and retrieval.
  • Architect and build comprehensive LLM evaluation systems, including LLM-as-judge workflows and regression testing.
  • Develop RAG and embedding-based capabilities to facilitate enterprise knowledge access and automation.
  • Build scalable Python services and platform components deployed within AWS cloud environments.
  • Partner with product and engineering teams to translate emerging AI capabilities into reliable platform features.
  • Establish engineering best practices for the continuous optimization of agentic systems.

Requirements

  • Bachelor’s or Master’s degree in a quantitative field (Computer Science, Statistics, Engineering, or Mathematics).
  • 5-7+ years of experience in AI/ML engineering, applied machine learning, or NLP.
  • 2+ years of hands-on experience building production LLM or AI agent systems.
  • Proven experience with LangGraph, LangChain, or similar agent orchestration frameworks.
  • Strong Python engineering skills and experience deploying scalable software in AWS.
  • Must be based in or have authorization to work in Canada

Nice to have

  • Experience building or utilizing knowledge graphs for enterprise knowledge modeling and reasoning.
  • Experience with enterprise automation platforms or customer experience (CX) systems.
  • Familiarity with security, compliance, and governance requirements for enterprise AI systems.

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