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5 дней назад

Principal Software Development Engineer (AI Platform)

168 000 - 252 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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 Software Development Engineer (AI Platform): Building and deploying scalable AI platforms and ML infrastructure for enterprise software with an accent on agentic AI, tool calling, multi-agent architectures, and human-in-the-loop integrations. Focus on designing production-ready Python services, multi-tenant runtimes, MLOps automation, and resilient systems serving millions of users.

Location: Vancouver, British Columbia, Canada. Hybrid Flex Work requires spending at least 50% of each quarter in the office or in the field with customers, prospects, and partners.

Salary: CAD 168,000–252,000 annual base salary, depending on work location, experience, skills, duties, and business needs. The role may also include a bonus and annual refresh stock grants.

Company

hirify.global is a Fortune 500 enterprise software company and AI platform for managing people, money, and business agents.

What you will do

  • Design, implement, and maintain AI platform capabilities for tool calling, multi-agent architectures, planning, reasoning, action execution, and human-in-the-loop workflows.
  • Build secure RESTful services and multi-tenant ML runtimes using Python and Kubernetes for fast inference at million-user scale.
  • Translate product requirements into functional technical designs with cross-functional teams.
  • Apply MLOps practices including automation, observability, CI/CD, and production deployment.
  • Lead design reviews, code quality initiatives, testing strategies, and software engineering best practices.
  • Collaborate with engineers and ML researchers while contributing to technical knowledge-sharing.

Requirements

  • 8+ years of software development engineering experience, including designing, developing, and deploying software solutions.
  • 5+ years of production Python experience and a track record of shipping production systems.
  • 5+ years of experience building scalable data pipelines and working with large-scale datasets.
  • 5+ years of deploying production services to cloud platforms such as AWS, Azure, or GCP, using Docker and Kubernetes for MLOps.
  • Expertise in machine learning engineering, deployment, and MLOps, including generative models, LLMs, RAG, and AI agents.
  • Strong knowledge of distributed systems, algorithms, performance optimization, database technologies such as PostgreSQL and Redis, API development, and comprehensive testing.

Culture & Benefits

  • Flexible work combines in-person collaboration with remote work and customer-facing field time.
  • Benefits are provided as part of hirify.global’s comprehensive total compensation package.
  • Potential eligibility for a hirify.global Bonus Plan or role-specific bonus and annual refresh stock grants.
  • hirify.global supports reasonable accommodations and provides an equal opportunity work environment.

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