Job description

We are looking for an AI Engineering Manager to join our team in Hong Kong to help lead the design and delivery of AI-powered solutions for our clients. This role combines hands-on technical expertise, designing solution architecture, consulting delivery, and team leadership.

AI Solution Design & Delivery

• Lead the design, development, and deployment of AI solutions for clients across multiple industries.
• Build applications powered by LLMs, RAG pipelines, vector databases, semantic search, document intelligence, summarization, and workflow automation.
• Design and implement agentic AI systems, including tool calling, orchestration, memory management, and human-in-the-loop workflows.
• Ensure AI solutions are aligned with client objectives, performance requirements, security standards, and cost considerations.

Engineering & Architecture

• Provide technical leadership across the AI engineering lifecycle, from prototyping through to production deployment.
• Architect scalable backend systems, APIs, microservices, and cloud-native AI applications.
• Work with frameworks and tools such as Python, LangChain, LlamaIndex, Hugging Face, PyTorch, FastAPI, Flask, Docker, and Kubernetes.
• Deploy industry-standard AI solutions on cloud platforms such as AWS, Azure, GCP, Alibaba Cloud, or Tencent Cloud.

MLOps, GenAIOps & Production Readiness

• Drive MLOps and GenAIOps best practices, including CI/CD, testing, monitoring, evaluation, and production support.
• Establish evaluation frameworks for LLM applications, including relevance, explainability, factuality, hallucination risk, latency, cost, and robustness.
• Ensure AI systems are production-ready, scalable, secure, maintainable, and aligned with operational requirements and industry standards.

Consulting & Client Leadership

• Work directly with clients to understand business challenges, identify AI opportunities, and translate requirements into solution designs.
• Lead client workshops, technical discovery sessions, architecture reviews, and solution demonstrations.
• Communicate complex AI and technical concepts clearly to both technical and non-technical stakeholders.
• Support sales, pre-sales, and proposal development by shaping technical solutions, delivery plans, estimates, and narratives.
• Advise clients on AI adoption, responsible AI, operating models, governance, and technology strategy.

Team Leadership & Delivery Management

• Lead small to medium-sized engineering teams in the delivery of AI and GenAI projects.
• Mentor AI engineers, software engineers, and junior consultants through technical guidance, code reviews, and structured feedback.
• Coordinate across data science, engineering, product, cloud, security, and business teams to ensure successful delivery.
• Promote engineering excellence, documentation, reusable assets, knowledge sharing, and continuous improvement.