Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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