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3 дня назад

Senior Software Developer (MLOps)

Формат работы
remote (Global)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Netherlands/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
Senior Software Developer (MLOps) (Python/Java, AWS, LLMs): Building and scaling AI platform services that train thousands of models and serve hundreds of millions of queries daily with an accent on distributed systems, reliability, observability, and production machine learning infrastructure. Focus on integrating agentic applications, operating high-volume LLM services, and designing scalable real-time inference workflows.

Location: Remote worldwide, with optional in-person or hybrid work from offices in Montreal, Quebec City, London, or Weert

Company

hirify.global is a Quebec-based AI company developing intelligent search and recommendation technology for digital experiences.

What you will do

  • Develop, test, deploy, and maintain backend services for the machine learning platform.
  • Improve the usability, observability, and reliability of AI platform infrastructure.
  • Maintain services handling millions of requests and LLM calls per day.
  • Collaborate with applied scientists, data engineers, and developers to integrate agentic applications into production.
  • Evolve the platform to support large-scale agentic workflows and real-time inference.
  • Suggest engineering improvements and use AI coding tools in the development workflow.

Requirements

  • 5+ years of backend development experience in a cloud environment.
  • Experience with Python or Java/Spring; AWS experience is an asset.
  • Understanding of distributed systems and scalable application design.
  • Ability to troubleshoot and debug systems with guidance when needed.
  • Comfort learning new tools, technologies, and engineering practices.

Nice to have

  • Terraform, AWS Bedrock, OpenSearch Serverless, vector databases, LiteLLM, or other LLM inference gateways.
  • Exposure to machine learning or agentic workflows.
  • Interest in scalable backend services, large-scale real-time systems, and real-time inference.

Culture & Benefits

  • Remote work is available worldwide, with possible travel for in-person team-building events.
  • Hybrid employees gather in the office two times per week on pillar days.
  • In-person work is available at offices in Quebec City, Montreal, London, and Weert.
  • Collaborative, diverse, and trusting work environment focused on continuous learning and innovation.
  • Accessible employment practices and accommodation support are available during recruitment.

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