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Роль четко сфокусирована на создании инфраструктуры для LLM, но торговая специализация компании может не подойти, если вам ближе продукты вне трейдинга.
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Инфраструктура для ИИАктуальные технологииПонятная зона ответственностиТорговая сфераБюджет на развитие
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Platform Engineer (LLM/AI): Architecting and operating an internal LLM Gateway and agent control plane with an accent on routing, quotas, observability, security, and governance. Focus on building AI agents, integrating LLM APIs and SDKs, and solving distributed-systems challenges involving rate limiting, retries, failovers, and cost tracking.
Location: Europe; remote work is available
Company
hirify.global is hiring an AI Platform Engineer to build internal infrastructure for LLM and agent adoption.
What you will do
Architect, build, and operate an internal LLM Gateway with routing, rate limiting, quotas, cost tracking, and automated fallbacks.
Design and build an agent control plane for agent creation, context management, task execution, and state tracking.
Build and maintain internal SDKs and integrate relevant open-source tools.
Implement observability, monitoring, alerting, tracing, and evaluation for LLM and agent workflows, including latency, token usage, costs, and failovers.
Implement security and governance for LLM usage and AI agents.
Collaborate with internal teams to translate business needs into AI solutions and drive AI adoption.
Requirements
5+ years of backend development experience.
Strong proficiency in Python or another modern backend language such as Go, TypeScript, or Rust, with willingness to use Python as the primary platform language.
Deep understanding of distributed systems, including async queues, rate limiting, retries, circuit breakers, and failover mechanics.
At least 1 year of hands-on experience with AI/LLM-based solutions.
Practical experience with LLM APIs such as OpenAI, Anthropic, or Gemini, including streaming, tool calling, context management, and rate limits.
Hands-on experience building AI agents or agentic workflows.
Knowledge of observability covering metrics, logs, and tracing.
Experience with Docker, Kubernetes, and cloud platforms such as AWS or GCP.
Strong logical thinking, ownership, initiative, product mindset, and English at Intermediate level or higher.
Nice to have
Experience building developer platforms, internal tooling, API Gateways, or SDKs.
Experience with MCP, RAG pipelines, or vector databases.
Experience with LLM observability and evaluation tools such as Langfuse, LangSmith, or OpenTelemetry.
Active personal adoption of AI tools or agents to automate workflows.
Degree in Computer Science, Software Engineering, or a related field.
Culture & Benefits
Remote work opportunity in Europe.
20 paid vacation days and 10 paid sick leave days per year.
Public holidays according to the company's approved holiday list.
Medical insurance.
Professional education, language learning, and wellness budgets.
Hiring process
Apply for the AI Platform Engineer position.
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