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2 месяца назад

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 (Agent Systems): Developing high-performance inference and orchestration layers for proactive AI chat applications with an accent on reliability, low latency, and production-grade task completion. Focus on designing robust APIs, managing LLM integration pipelines, and ensuring system scalability under heavy production traffic.

Location: Must be based in Beijing, China (Remote role with location constraint).

Company

hirify.global is building a proactive AI-powered chat application designed to handle long-running workflows and real-world task automation for global users.

What you will do

  • Build and operate production backend systems powering AI-driven features.
  • Design inference pipelines, orchestration layers, and service boundaries for AI models.
  • Take ownership of production concerns including monitoring, logging, and incident response.
  • Optimize latency and throughput across inference, caching, and streaming services.
  • Ensure stable and clear API integration between frontend clients and AI/ML systems.
  • Drive iterative performance improvements based on real-world production usage data.

Requirements

  • Strong background in backend engineering within production environments.
  • Experience managing high-throughput, low-latency service architectures.
  • Familiarity with AI inference patterns including LLMs, embeddings, and multimodal models.
  • Proven ability to debug and maintain distributed systems under load.
  • Bias toward shipping and learning from real-world production environments.

Culture & Benefits

  • High talent density environment with a focus on hands-on execution.
  • Collaborative decision-making process within a small, world-class team.
  • Fast-paced development cycle balancing high quality with rapid iteration.
  • Opportunity to contribute to a product aimed at providing practical AI benefits to billions of users.

Hiring process

  • Evaluation of application by the technical team.
  • 3 to 4 virtual or onsite interviews.
  • Prompt, transparent decision-making process.

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