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обновлено 8 дней назад

Platform Engineer - AI Engineering

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
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
Platform Engineer - AI Engineering (Go/Python/LLM): Building and operationalizing a unified AI tooling ecosystem that connects cloud providers, internal models, and end-user tools with an accent on API gateways, secure traffic governance, and enterprise AI services. Focus on implementing dynamic routing and fallback logic, integrating firm-wide tools, and registering self-hosted models within centralized AI infrastructure.

Location: Montreal, Canada

Company

Diversified trading firm operating technology-driven strategies across global financial markets and non-traditional areas including real estate, venture capital, and cryptoassets.

What you will do

  • Configure and manage multi-engine API gateways with dynamic routing, rate limits, and fallback logic for LLM requests.
  • Integrate firm-wide AI tools into a centralized management plane so AI traffic is securely logged and governed.
  • Manage AI services in enterprise cloud landing zones, including Azure OpenAI instances, model deployments, and API key generation.
  • Write Go and Python code for usage-dashboard synchronization and automated progressive-friction mechanisms such as alerts.
  • Partner with the Inference Infrastructure pod to register and route self-hosted, on-premise models through AI gateways.

Requirements

  • Strong backend programming experience with Go and/or Python.
  • Hands-on experience with API design, integration, and platform or cloud engineering.
  • Familiarity with API gateways, proxy configuration, or distributed-system networking.
  • Strong interest in the LLM ecosystem and the technical mechanics of AI tooling.
  • Collaborative approach and focus on clean, maintainable code.

Culture & Benefits

  • Work within a centralized AI Platform Team responsible for software, operations, and governance layers.
  • Collaborate with cloud, inference infrastructure, and senior software engineering specialists.
  • Operate in an environment emphasizing autonomy, innovation, integrity, and challenging consensus.
  • Contribute to systems that manage AI access, usage, cost, and governance across the firm.

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