Чётко очерченная senior-роль на развивающейся AI-платформе с ответственностью за production-системы и сильными инженерными практиками; главное ограничение - проживание в одной из указанных провинций Канады.
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Ограничение по локацииAI уже в продакшенеСовременные технологииПонятная зона ответственностиЗрелые инженерные практики
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer, Backend (AI Platform) (AI/LLM infrastructure): Building governed gateway, runtime, and evaluation services that move AI workloads from pilot to production with an accent on reliability, security, identity, and cost attribution. Focus on designing distributed systems for model and tool access, implementing agent guardrails and observability, and operating services at scale.
Location: Remote in Canada; candidates must reside 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 payment solutions that allow customers to pay over time without hidden fees.
What you will do
Own technical decisions and projects across design, launch, and on-call operations for the AI Platform team.
Design and build gateway, runtime, and evaluation services that scale AI workloads securely across millions of users and transactions.
Implement identity, quota, routing, caching, and failover controls for attributable and governable AI spending.
Partner with security, infrastructure, and product engineering teams on agent guardrails and on-behalf-of identity for tool access.
Define metrics and own monitoring, alerting, runbooks, and operational health for shipped systems.
Improve code review and design standards, mentor engineers, and promote effective use of AI tools and agentic workflows.
Requirements
4+ years of experience designing, developing, and launching backend systems at scale using 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 such as LiteLLM, MCP, tool calling, evaluations, or agent runtimes.
Understanding of AI usage and infrastructure for supporting AI workloads across disciplines.
Experience defining technical plans for significant features or system components using elegant, simple, and extensible designs.
Ability to write high-quality, understandable code and make significant changes safely in large codebases using appropriate tools and practices.
Evidence of proactively owning professional growth and seeking feedback from teams, managers, and stakeholders.
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; new hires attend an in-person onboarding experience.
Blameless postmortems, detailed technical specifications, and feedback-driven engineering practices.
100% subsidized medical coverage, dental and vision coverage for employees and dependents.
Monthly stipends for technology, health, and wellness spending.
Flexible time off, generous holiday calendars, and an employee stock purchase plan.
Hiring process
Inclusive interview process with accommodations available for candidates with disabilities.
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