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AI Engineering Manager (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

AI Engineering Manager (AI/LLM): Leading the design and delivery of AI-powered solutions for diverse clients with an accent on LLM applications, RAG pipelines, and agentic AI systems. Focus on architecting scalable backend systems, driving MLOps/GenAIOps best practices, and managing technical delivery in a consulting environment.

Location: Onsite in Hong Kong

Company

hirify.global is a next-generation global management consulting group that merges data science, Generative AI, and digital solutions to drive business transformation.

What you will do

  • Lead the design and deployment of AI solutions using LLMs, RAG pipelines, and agentic AI systems.
  • Architect scalable backend systems, APIs, and microservices on cloud platforms such as AWS, Azure, GCP, Alibaba, or Tencent Cloud.
  • Establish and drive MLOps and GenAIOps best practices, including CI/CD and comprehensive LLM evaluation frameworks.
  • Collaborate with clients to identify AI opportunities and translate business requirements into technical solution designs.
  • Lead and mentor small to medium-sized engineering teams through technical guidance and code reviews.
  • Support pre-sales and proposal development by shaping technical narratives, delivery plans, and estimates.

Requirements

  • 6+ years of relevant experience in AI engineering, MLOps, DevOps, or applied AI delivery.
  • Must be based in Hong Kong.
  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field.
  • Strong programming skills in Python and experience with PyTorch, Hugging Face, LangChain, and LlamaIndex.
  • Experience with containerization (Docker, Kubernetes) and cloud-native architecture.
  • Fluency in English is required.

Nice to have

  • Fluency in Cantonese (highly preferred) or Mandarin.
  • Experience delivering enterprise AI solutions in banking, insurance, energy, or retail sectors.
  • Knowledge of multi-agent orchestration, on-prem LLM deployments, and AI governance frameworks (GDPR, SOC2).
  • Experience using AI-native engineering tools like GitHub Copilot, Cursor, or Claude Code.

Culture & Benefits

  • Opportunity to work on high-impact Generative AI projects across diverse global industries.
  • Autonomous operating environment within a performance-driven international consulting firm.
  • Professional growth through mentoring engineers and contributing to a high-performing AI team.
  • Collaborative culture spanning data science, cloud, product, and business consulting teams.

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