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4 часа назад

Software Engineer AI - Multiple Levels

100 000 - 150 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
UK/Singapore/US +6 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Software Engineer AI - Multiple Levels (AWS/LLM): Building secure, scalable, serverless AI services and deployment pipelines for governance, risk, and compliance products with an accent on event-driven architecture, observability, and production-ready LLM integrations. Focus on translating AI research into commercial services, designing resilient infrastructure, and solving challenges in monitoring, cost efficiency, privacy, and safe AI usage.

Location: Vancouver, British Columbia, Canada; candidates must be based in or able to work from Vancouver. Hybrid work model with onsite attendance at least 50% of the time for candidates within commuting distance of a hirify.global office.

Salary: CAD 100,000–150,000 per year.

Company

hirify.global develops AI-powered governance, risk, and compliance SaaS solutions used by organizations, executives, and boards.

What you will do

  • Design, build, and operate secure, scalable, fault-tolerant serverless services on AWS.
  • Translate AI and LLM capabilities into production-grade services and support their integration across product teams.
  • Build deployment, monitoring, and management pipelines for AI services at scale.
  • Own services end to end across architecture, implementation, deployment, observability, and operations.
  • Participate in architecture discussions, design reviews, and product design focused on customer problems.
  • Collaborate in an agile environment through pairing, planning, and shared delivery optimization.

Requirements

  • Must be based in or able to work from Vancouver, Canada.
  • Professional software engineering experience building web applications in an agile environment.
  • Hands-on AWS experience and familiarity with infrastructure as code such as CDK or Terraform.
  • Backend experience with RESTful APIs, Node.js/TypeScript or Python, Git, and SQL databases such as PostgreSQL.
  • Frontend familiarity with React or Angular, plus experience writing readable, well-tested, secure code using SOLID principles.
  • Practical use of AI development tools and understanding of AI/LLM concepts, privacy, security, fairness, and responsible validation.

Nice to have

  • AWS CDK, TypeScript, and React experience.
  • Microservices, event-driven architecture, CI/CD, and automated testing on AWS.
  • Experience deploying AI applications in production and understanding of MLOps, RAG pipelines, semantic search, data drift, or performance monitoring.
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Culture & Benefits

  • Flexible hybrid work environment with office hubs across multiple countries.
  • Comprehensive health benefits, generous time off, wellness programs, and meeting-free days.
  • Collaborative, innovative culture focused on continuous learning and responsible use of AI.
  • Global days of service and employee resource groups supporting diversity and inclusion.

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