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1 час назад

Staff AI Engineer (AI Core Engineering)

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

Текст:
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TL;DR
Staff AI Engineer (AI Core Engineering): Building and shipping production-grade agentic AI workflows across the Acquia DXP with an accent on LangGraph, Temporal, Pydantic, LangFuse, enterprise reliability, and observability. Focus on designing stateful multi-agent systems, optimizing RAG and tool-calling strategies, benchmarking AI infrastructure, and meeting enterprise-scale security and compliance requirements.

Location: Remote in Canada

Company

hirify.global provides an AI-powered digital experience platform built on open-source Drupal, combining content management, digital asset management, and product information management for enterprise organizations.

What you will do

  • Design, build, and ship production-grade agentic AI workflows across the hirify.global DXP.
  • Architect stateful, cyclic, and multi-agent workflows using LangGraph, Temporal, and Pydantic.
  • Own AI observability with LangFuse, including tracing, prompt versioning, evaluation, and performance benchmarking.
  • Set engineering standards for agent design, RAG, prompt management, context optimization, and tool-calling strategies.
  • Partner with product and platform teams on AI architectures that meet enterprise SLA, security, and compliance requirements.
  • Mentor engineers through code reviews, pairing, design discussions, and customer architectural reviews.

Requirements

  • 8+ years of software engineering experience, including 3+ years building AI agents in production.
  • Hands-on expertise with LangGraph, Temporal, Pydantic, and LangFuse.
  • Experience with LangChain or similar agent harness frameworks, including chains, tools, memory, and retrieval pipelines.
  • Deep Python proficiency and strong fundamentals in testing, CI/CD, and software architecture.
  • Cloud AI deployment experience with AWS, Azure, or GCP, including containerization and inference cost management.
  • Knowledge of RAG architectures, vector databases, embedding models, and retrieval strategies, plus a B.S. in Computer Science or equivalent practical experience.

Nice to have

  • Enterprise SaaS or CMS experience, especially with Drupal-based digital experience platforms.
  • Experience with AI-assisted development tools such as Copilot, Cursor, or Claude.
  • Familiarity with persistent agent runtimes, cross-session memory, autonomous skill creation, and always-on agent infrastructure.
  • LLM fine-tuning, model evaluation, human-in-the-loop agent design, or foundational model trade-off experience.
  • Experience presenting AI system designs to engineering and executive stakeholders.

Culture & Benefits

  • Remote work for candidates based in Canada.
  • Healthcare coverage and wellness programs.
  • Flexible take-it-when-you-need-it time off and parental leave.
  • Recognition programs and additional employee benefits.
  • Inclusive environment focused on innovation, learning, collaboration, and AI-augmented work.

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