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17 часов назад

Principal AI Platform Engineer (AI)

Формат работы
remote (только United_states/Canada)/hybrid/onsite
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

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TL;DR

Principal AI Platform Engineer (Python/AI): Designing and scaling the AI Platform's agent, skill, and tool architecture to empower product engineers to ship AI-powered features with an accent on scalability and developer experience. Focus on architecting high-scale context graphs, building agent orchestration layers, and designing robust evaluation loops to ensure reliability.

Location: Must be based in the United States or Canada (Remote, or in hubs: San Francisco, Toronto, Montreal)

Company

hirify.global is a leading mobile-first work execution platform for industrial and frontline teams, recently valued at $2.5B after a $150M Series D.

What you will do

  • Define and evolve the Agent/Skill/Tool architecture to enable reasoning, planning, and collaboration across AI features.
  • Architect retrieval and knowledge systems to scale the context graph using millions of work orders and equipment manuals.
  • Develop the developer experience, including agent orchestration, MCP tool registries, and observability layers.
  • Design offline and online evaluation systems to create a continuous feedback loop for agent performance.
  • Drive cross-division alignment on AI platform strategy, partnering with multiple product engineering teams.

Requirements

  • 10+ years of software engineering experience in backend systems or distributed architecture.
  • 3+ years of production experience building ML or LLM-powered systems with a focus on evaluation and reliability.
  • Proven track record of technical leadership at the Principal level, influencing strategy across multiple teams.
  • Deep expertise in Python backend, API design, and data pipelines.
  • Experience treating developer experience (documentation, enablement) as a first-class product.

Nice to have

  • Experience with multi-agent orchestration, tool use, and skill registries.
  • Proficiency with MCP, LangGraph, LlamaIndex, or observability platforms like Langfuse and LangSmith.
  • Knowledge of RAG pipelines, vector databases, and knowledge graphs at scale.
  • Experience in B2B SaaS, industrial software, or IoT/OT domains.

Culture & Benefits

  • Competitive base salary, variable compensation, and equity in a high-growth Series D company.
  • Day-1 comprehensive health, dental, and vision coverage.
  • Unlimited PTO and flexible token limits.
  • Flexible work arrangements: remote across US/Canada or hub-based in SF, Toronto, or Montreal.
  • Performance-driven culture focusing on output and architectural impact.

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