ASUS AICS-Engineering Manager – AI Engineering & LLM Systems

ASUS Global Pte Ltd; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

ASUS Global Pte Ltd is seeking an Engineering Manager to lead a team of Machine Learning Engineers building production-ready LLM applications, AI infrastructure, and clinical AI systems. The role focuses on driving design, development, and deployment of AI systems with strong emphasis on MLOps and scalable workflows.

You will guide cross-functional collaboration with AI Research, Product, and Software Engineering teams to translate research into real-world products, while evaluating new AI

Qualifications

• 8+ years of software engineering, machine learning engineering, or AI engineering experience.
• 3+ years leading technical engineering teams.
• Proven experience delivering AI products into production.
• Hands-on experience with Large Language Models (LLMs) and Generative AI application development.
• Experience with model fine-tuning or adaptation for domain-specific use cases.
• Experience with LLM evaluation and benchmarking.
• Experience with RAG and knowledge retrieval systems.
• Experience with agentic AI frameworks and workflow orchestration.
• Experience with prompt engineering and structured tool calling.
• Experience with PyTorch and Hugging Face ecosystem.

Responsibilities

• Lead and grow a high-performing Machine Learning Engineering team.
• Drive the design, development, and deployment of production LLM applications and AI systems.
• Build scalable AI engineering workflows covering model evaluation, experimentation, deployment, and continuous improvement.
• Lead the development of agentic AI capabilities, including multi-agent workflows, tool integration, memory, and orchestration.
• Establish engineering best practices for AI development, software quality, testing, and MLOps.
• Work closely with AI Research, Product, and Software Engineering teams to translate research into production products.
• Continuously evaluate emerging AI technologies and adopt new techniques that improve product quality and engineering productivity.

Skills

Team leadership

AI product delivery

Prompt engineering

LLMs / Generative AI

MLOps

RAG / knowledge retrieval

Agentic AI orchestration

PyTorch / Hugging Face

Tools

PyTorch

Hugging Face

Job description

About the role

AICS builds Healthcare AI solutions that improve clinical workflows through large language models, agentic AI, and modern AI engineering. We are looking for an Engineering Manager to lead a team of Machine Learning Engineers building production-ready LLM applications, AI infrastructure, and clinical AI systems.

Key responsibilities

• Lead and grow a high-performing Machine Learning Engineering team.
• Drive the design, development, and deployment of production LLM applications and AI systems.
• Build scalable AI engineering workflows covering model evaluation, experimentation, deployment, and continuous improvement.
• Lead the development of agentic AI capabilities, including multi-agent workflows, tool integration, memory, and orchestration.
• Establish engineering best practices for AI development, software quality, testing, and MLOps.
• Work closely with AI Research, Product, and Software Engineering teams to translate research into production products.
• Continuously evaluate emerging AI technologies and adopt new techniques that improve product quality and engineering productivity.

About you

• 8+ years of software engineering, machine learning engineering, or AI engineering experience.
• 3+ years leading technical engineering teams.
• Proven experience delivering AI products into production.
• Practical, hands-on experience with Large Language Models (LLMs) and Generative AI application development.
• Experience with model fine-tuning or adaptation for domain-specific use cases.
• Experience with LLM evaluation and benchmarking.
• Experience with RAG and knowledge retrieval systems.
• Experience with agentic AI frameworks and workflow orchestration.
• Experience with prompt engineering and structured tool calling.
• Experience with PyTorch and Hugging Face ecosystem.

About us

AICS builds Healthcare AI solutions that improve clinical workflows through large language models, agentic AI, and modern AI engineering.