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4 дня назад

Integration Engineer (AI MaaS)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore/Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Integration Engineer (AI MaaS): Building and operating the adapter layer connecting an AI Model-as-a-Service platform with third-party inference providers, with an accent on API normalization, provider resilience, cost controls, and billing reconciliation. Focus on designing circuit breakers, monitoring upstream contract changes, reconciling usage with provider invoices, and evaluating new inference vendors.

Location: Singapore, SG / Penang, MY

Company

hirify.global is a technology company focused on Bitcoin mining, AI cloud services, ASIC manufacturing, mining infrastructure, and high-performance computing datacenters.

What you will do

  • Build and maintain adapters connecting the AI MaaS gateway to third-party inference providers.
  • Translate provider request and response formats, streaming protocols, authentication schemes, capabilities, and error taxonomies into a unified internal interface.
  • Design cost guardrails, automated spend controls, retry handling, and circuit breakers for runaway usage, latency degradation, and upstream failures.
  • Monitor provider changelogs and live response shapes, and create contract tests, escalation paths, and rollback procedures for breaking changes.
  • Reconcile provider invoices with internal usage and metering records, resolving discrepancies with finance.
  • Evaluate and onboard new inference providers through proof-of-concept integrations and reliability testing.

Requirements

  • 4+ years of backend engineering experience building and operating production API integrations.
  • Experience integrating multiple third-party providers behind a single internal interface.
  • Hands-on experience with Go or a comparable statically typed backend language, including HTTP or gRPC clients, retry and backoff logic, and circuit breakers.
  • Working knowledge of LLM and inference APIs, streaming responses, function calling, and token-based rate limiting.
  • Experience with cost and usage monitoring or alerting for metered, usage-billed systems, ideally including vendor invoice reconciliation.
  • Experience with contract or integration testing, third-party API debugging, and observability tools such as Prometheus, Grafana, or distributed tracing.

Culture & Benefits

  • Inclusive environment that values authenticity and diverse perspectives.
  • Start-up spirit within a fast-growing technology company.
  • Opportunities to contribute directly to digital asset and AI cloud projects.
  • Autonomy, personal accountability, fast growth, and learning opportunities.
  • Welfare benefits, training, and mentoring.

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