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4 дня назад

Staff Engineer, AI Platform

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Singapore/US +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Engineer, AI Platform (AI/Cloud Infrastructure): Owns and extends the internal AI platform used to build and run secure, scalable AI-powered tools across the organization with an accent on production engineering, model routing, reliability, and security. Focus on architecting gateway and orchestration systems, measuring unpredictable model behavior, managing cloud and Kubernetes infrastructure, and translating cross-functional needs into a platform roadmap.

Company

hirify.global is a SaaS platform for creating blockchain products and managing digital asset and crypto operations, serving financial institutions, banks, brands, and Web3 companies.

What you will do

  • Own the internal AI platform used by teams across the organization to build and run AI-powered tools.
  • Architect and write production code for a secure, scalable, reliable, and developer-friendly platform.
  • Own the platform roadmap and translate needs from engineering, product, go-to-market, and operations into clear plans.
  • Build and operate model gateways that route inference across providers based on cost, latency, capability, and data sensitivity.
  • Measure AI system quality, identify regressions, and balance cost, safety, and performance.
  • Drive adoption of AI practices and communicate technical direction from whiteboard discussions through executive-level conversations.

Requirements

  • Staff-level engineering experience building and operating high-scale systems while remaining hands-on with production code.
  • Strong understanding of frontier-model APIs, multi-agent orchestration, RAG, and developer interfaces such as CLIs and MCP.
  • Experience building or operating model-routing gateways across multiple inference providers.
  • Experience measuring and improving AI systems with unpredictable outputs.
  • Security-first engineering experience, including guardrails, least-privilege access, human-in-the-loop escalation, monitoring, and auditing.
  • Experience with cloud infrastructure, Kubernetes, CI/CD, and infrastructure as code, plus effective collaboration with security, legal, and finance.

Nice to have

  • Experience in fintech, security, custody, or another regulated, high-trust environment.
  • Experience navigating large organizations, multiple stakeholders, competing priorities, and cross-team dependencies.
  • Experience with digital assets, blockchain, or Web3.

Culture & Benefits

  • Opportunity to shape how the entire organization builds with AI.
  • Collaboration across engineering, product, go-to-market, operations, security, legal, and finance.
  • Access to an international company with offices in New York, London, Tel Aviv, and Singapore.

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