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Staff Software Engineer (AI Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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

Staff Software Engineer (AI Infrastructure): Designing and evolving the architecture for an agent-centric software development lifecycle with an accent on autonomous AI agents, agent governance, and AI-powered application factories. Focus on building high-availability distributed systems, event-driven architectures, and integrating LLMs into the engineering workflow.

Location: Shanghai

Company

A unified payments and financial platform for global businesses empowering over 200,000 companies worldwide.

What you will do

  • Design and evolve the architecture for AirDev, an autonomous AI agent execution engine for end-to-end software development tasks.
  • Architect Quartermaster, the control plane for provisioning and managing autonomous agent workflows with safety and auditability controls.
  • Lead the technical direction for AirForge, a containerized AI-powered application factory enabling natural language app generation.
  • Design event-driven architectures connecting AI agents with enterprise systems (GitLab, Jira, Slack) via Kafka pipelines.
  • Define domain-level technical roadmaps, review RFCs, and mentor senior engineers to raise architectural quality.

Requirements

  • Minimum of 8 years of professional software engineering experience with a track record of technical leadership.
  • Strong system design skills for distributed, event-driven platforms with high availability and scalability.
  • Proficiency in Python and/or TypeScript/Node.js (FastAPI, Next.js, or Express).
  • Hands-on experience with Kubernetes, Docker, and cloud platforms (GCP preferred).
  • Excellent communication and stakeholder management skills to influence global technical strategy.

Nice to have

  • Experience building AI/LLM-powered developer tools, agent frameworks, or autonomous systems.
  • Familiarity with LLM integration patterns, prompt engineering, and Model Context Protocol (MCP).
  • Experience with Kafka, GitOps (ArgoCD, Helm), and infrastructure-as-code (Terraform).

Culture & Benefits

  • Environment for successful builders with founder-like energy and a focus on true ownership.
  • High-impact work tackling complex, high-visibility problems with an innovative global team.
  • Culture of moving fast with good judgment and making decisions from first principles.
  • Emphasis on using AI to work smarter and solve problems faster.

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