Назад
4 дня назад

Senior Software Engineer, Backend (AI Platform)

153 000 - 213 000CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior Software Engineer, Backend (AI Platform) (Python/Kotlin, AWS, LLMs): Building governed gateway, runtime, and evaluation services that take AI workloads from pilot to production with an accent on reliability, security, identity, cost attribution, and scalable distributed systems. Focus on designing agentic infrastructure, implementing model and tool controls, and operating highly available services across millions of users and transactions.

Location: Remote in Canada, limited to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan

Base pay: CAD 153,000–213,000 per year

Company

Affirm provides transparent, predictable pay-over-time products and builds global infrastructure shared across financial products, merchants, and vendors.

What you will do

  • Own technical decisions and projects across design, launch, and on-call operations for the AI Platform team.
  • Design and build gateways, agent runtimes, and evaluation services that move AI workloads from pilot to production.
  • Build identity, quota, routing, caching, failover, cost attribution, and governance controls for models and tools.
  • Partner with security, infrastructure, and product engineering teams on guardrails and on-behalf-of identity for tool access.
  • Define metrics and operate production systems through monitoring, alerting, runbooks, and on-call.
  • Improve engineering standards, mentor engineers, and promote effective design, coding, and testing practices.

Requirements

  • 4+ years of experience designing, developing, and launching backend systems at scale using languages such as Python or Kotlin.
  • Experience developing highly available distributed systems with technologies such as AWS, MySQL, and Kubernetes.
  • Production experience with LLMs, agents, or AI frameworks, including inference APIs, LLM gateways, MCP, tool calling, evaluations, or agent runtimes.
  • Understanding of AI usage and the infrastructure required to support AI workloads across disciplines.
  • Experience defining technical plans for significant features or system components with elegant, simple, and extensible designs.
  • Ability to write high-quality, understandable code and make significant changes safely in large codebases.
  • Proactive approach to professional growth and feedback.
  • Strong verbal and written communication skills for collaboration with a global engineering team.
  • Equivalent practical experience or a bachelor’s degree in a related field.

Culture & Benefits

  • Remote-first work with flexibility within the country of employment; occasional office work may be required, and new hires attend in-person onboarding.
  • Blameless postmortems, detailed technical specifications, feedback gathering, and strong engineering standards.
  • 100% subsidized medical, dental, and vision coverage for employees and dependents.
  • Monthly technology, health, and wellness spending stipends.
  • Flexible time off, generous holiday calendars, and an employee stock purchase plan.
  • Inclusive interview process with accommodations available for candidates with disabilities.

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