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16 часов назад

AI Engineer (Applied AI)

Формат работы
remote (только United_states/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

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TL;DR

AI Engineer (Applied AI): Designing and implementing scalable AI systems and multi-agent workflows with an accent on reinforcement learning, LLM memory, and evaluation systems. Focus on building and iterating AI-driven workflows, driving experimentation, and fine-tuning models in production.

Location: Remote - North America (United States and Canada) with required overlap 8am to 12pm PT

Company

hirify.global builds AI-powered growth infrastructure for marketing teams, partnering with startups and industry leaders to transform content into measurable growth.

What you will do

  • Design and implement end-to-end scalable AI systems including modeling, integration, and deployment.
  • Improve multi-agent workflow systems involving task decomposition, intent modeling, and LLM memory.
  • Build evaluation systems to measure agent performance offline and online to guide product decisions.
  • Manage the full model lifecycle: data exploration, development, evaluation, launch, monitoring, and iteration.
  • Collaborate closely with Engineering, Product, Design, and human-expert loops to improve quality.
  • Explore and apply emerging AI research and techniques to the product roadmap.

Requirements

  • Must have legal authorization to work in the country of residence (US or Canada) with no visa sponsorship available.
  • 5+ years experience shipping ML/AI systems in production for large-scale, user-facing or data-driven products.
  • Deep expertise in ML, NLP/LLMs, recommender systems, search, and ranking.
  • Proficiency in Python and modern ML infrastructure including model serving and experiment tracking.
  • Comfortable working in high-velocity, cross-functional product teams with ownership from idea to deployment.
  • MS/PhD in a technical field or equivalent experience.

Nice to have

  • Experience with multi-agent or workflow-based AI systems.
  • Hands-on work with retrieval-augmented generation, prompt strategies, or knowledge-centric systems.
  • Experience with reinforcement learning methods.
  • Prior experience in search systems or AI development tooling.

Culture & Benefits

  • Fully remote work with flexible environment setup and minimal meetings.
  • Required overlap with 8am to 12pm PT for collaboration.
  • Ample time off recognizing country holidays and encouraging recharge.
  • Professional growth with access to AI training, workshops, mentorship, and conferences.
  • Collaborative culture with open communication and feedback-driven environment.

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