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1 день назад

Senior AI Engineer (AI Platform)

200 000 - 250 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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

Senior AI Engineer (AI Platform): Architecting, designing, and implementing scalable AI platform services and applying LLMs to build intelligent features for hirify.global. Focus on backend systems for model deployment, orchestration, and lifecycle management, and integrating with multiple LLM providers.

Location: Remote (United States of America)

Salary: $200,000–$250,000 USD

Company

hirify.global is building a 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 that support LLM deployment and lifecycle management.
  • Apply LLMs and other AI technologies directly to build and enhance hirify.global’s intelligent features.
  • Build and maintain robust APIs and backend systems for 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, routing, and fallback strategies.
  • Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies.

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.
  • 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 for backend and AI platform development.
  • Experience with MLOps best practices, including model deployment, monitoring, and automated evaluation.
  • Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray).

Nice to have

  • Demonstrated ability to address AI privacy and security challenges.
  • Familiarity with search technologies and their integration into AI-driven applications.

Culture & Benefits

  • Opportunity to learn, use, and pioneer AI in ways that shape the product and future of work.
  • Join a bold, innovative team that’s redefining what’s possible.
  • Hiring based on ambition, grit, and a passion for improving the way people work.
  • Visa sponsorship for engineering and product roles may be available, but is not guaranteed and based on business needs.

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