Engineering Manager – AI Engineering & LLM Systems

About the role

We are seeking an Engineering Manager to lead a high‑performing Machine Learning Engineering team within ASUS Intelligent Cloud Service (AICS). The role focuses on building production‑ready large language model (LLM) applications, AI infrastructure, and clinical AI systems for healthcare.

Key responsibilities

• Lead, mentor and grow a team of Machine Learning Engineers.
• Design, develop and deploy production LLM applications and AI systems.
• Build scalable AI engineering workflows for model evaluation, experimentation, deployment and continuous improvement.
• Develop agentic AI capabilities, including multi‑agent workflows, tool integration, memory and orchestration.
• Establish best practices for AI development, software quality, testing and MLOps.
• Collaborate with AI Research, Product and Software Engineering teams to translate research into production products.
• Monitor emerging AI technologies and adopt techniques that enhance product quality and engineering productivity.

Required profile

• 8+ years of software, machine learning or AI engineering experience.
• 3+ years of experience leading technical engineering teams.
• Proven track record of delivering AI products into production.

Required skills

• Large Language Models (LLMs) and Generative AI application development.
• Model fine‑tuning or adaptation for domain‑specific use cases.
• LLM evaluation and benchmarking.
• Retrieval‑augmented generation (RAG) and knowledge retrieval systems.
• Agentic AI frameworks and workflow orchestration.
• Prompt engineering and structured tool calling.
• PyTorch and Hugging Face ecosystem.
• AI deployment, inference optimization and MLOps.
• Cloud‑native engineering with Docker, Kubernetes, Azure or GCP.