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Backend Engineer, AI

Формат работы
remote (только China)
Тип работы
fulltime
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Backend Engineer, AI (Python/Node.js): Building and operating production backend systems, inference pipelines, orchestration layers, and APIs for AI-powered features with an accent on reliability, latency, throughput, and observability. Focus on optimizing model inference, caching, batching, and streaming while debugging distributed systems under load and improving production performance.

Location: Remote, China; interviews may be conducted virtually or onsite.

Company

hirify.global is building proactive AI-native applications for conversations, errands, organization, and workflows, with a focus on reliable long-running task execution and persistent context.

What you will do

  • Build and operate backend systems that serve AI-powered product features in production.
  • Design inference pipelines, orchestration layers, and service boundaries around AI models.
  • Develop fast, stable, observable APIs for mobile and desktop clients.
  • Own monitoring, logging, alerting, and incident response for production systems.
  • Optimize latency and throughput across inference, caching, batching, and streaming.

Requirements

  • Strong backend engineering fundamentals in production environments.
  • Experience running high-throughput, low-latency services.
  • Familiarity with AI inference patterns, including LLMs, embeddings, and multimodal models.
  • Ability to debug distributed systems under load.
  • Experience with Python, Node.js, PyTorch, SQL, NoSQL, Kubernetes, and Docker.

Culture & Benefits

  • Work with a small, high-talent-density, hands-on team.
  • Make decisions collectively while moving at a rapid pace.
  • Balance high-quality delivery with learning from production behavior.
  • Work independently, exercise judgment, and bring structure to ambiguous challenges.
  • Expect a prompt decision after a process of three, and no more than four, interviews.

Hiring process

  • Applications are evaluated by technical team members.
  • Interviews are conducted via virtual meetings and/or onsite.
  • A final decision is made promptly when there is a strong fit.

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