3 месяца назад
AI Engineering Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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