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1 день назад

Staff AI Engineer (AI Platform)

250 000 - 300 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
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 AI Engineer (AI Platform): Building the core AI platform and applying large language models (LLMs) to deliver intelligent features across hirify.global with an accent on scalable, reliable, and secure AI-powered capabilities. Focus on integrating with multiple LLM providers, managing model selection, and ensuring AI privacy and security.

Location: Remote (United States)

Salary: $250K - $300K

Company

hirify.global is building a truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.

What you will do

  • Architect, design, and implement scalable AI platform services for the deployment and management of LLMs and other AI models.
  • Apply LLMs and other AI technologies to build and enhance hirify.global’s intelligent features.
  • Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features.
  • Develop infrastructure for model serving, monitoring, logging, and automated evaluation.
  • Integrate with multiple LLM providers and manage model selection and fallback strategies.
  • Collaborate cross-functionally with product, frontend, and data teams to deliver seamless, reliable, and user-centric AI experiences.

Requirements

  • Extensive experience designing and building scalable AI/ML platforms or infrastructure in a production environment.
  • Proven track record of applying LLMs and AI models to real-world product features and user-facing solutions.
  • Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure).
  • Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI platform development.
  • Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation.
  • Excellent collaboration and communication skills, with a track record of working effectively in cross-functional teams.

Culture & Benefits

  • Opportunity to learn, use, and pioneer AI in ways that shape not only the product, but the future of work itself.
  • Be part of a bold, innovative team that’s redefining what’s possible.
  • Assess every candidate based on the potential impact they can have.
  • Support each person’s journey to build their boldest career.

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