LLM Engineer: Enterprise AI & Multi-Agent Systems

Avepoint; Singapore; On-site; SGD 90,000 - 120,000; Full time

Benefits offered by this job

Flexible working hours

Access to high-performance GPU resources

Continued learning and development opportunities

Job summary

Avepoint is seeking a highly skilled AI Engineer to specialize in Large Language Models (LLMs) and Agentic AI. Your role will involve architecting and building production-grade LLM applications, ranging from intelligent knowledge bases to autonomous multi-agent workflows.

Applicants should have at least 2 years of experience in AI/ML engineering, a strong background in Transformer architecture, and proficiency in LLM application frameworks such as LangChain. This is an exciting opportunity to join a leading company in data protection.

Qualifications

• 2+ years of professional experience in AI/ML engineering.
• Hands-on experience with RAG system development.
• Proficiency in model quantization and inference optimization.

Responsibilities

• Design and develop enterprise LLM-powered applications.
• Build and maintain LLM evaluation frameworks.
• Implement production monitoring for LLM systems.

Skills

Deep understanding of Transformer architecture

Expert proficiency in LLM application frameworks

Strong programming skills in Python

Experience with production monitoring of AI systems

Education

Bachelor's degree or above in Computer Science

Master's or PhD in AI/ML preferred

Tools

LangChain

TensorFlow

PyTorch

Job description

Avepoint is seeking a highly skilled AI Engineer to specialize in Large Language Models (LLMs) and Agentic AI. Your role will involve architecting and building production-grade LLM applications, ranging from intelligent knowledge bases to autonomous multi-agent workflows.

Applicants should have at least 2 years of experience in AI/ML engineering, a strong background in Transformer architecture, and proficiency in LLM application frameworks such as LangChain. This is an exciting opportunity to join a leading company in data protection.