Senior LLMOps Engineer

We are looking for a Senior LLMOps Engineer with strong software engineering and infrastructure skills to join PatSnap’s Singapore team.

You will lead engineering initiatives for model training, inference services, and training data management, providing reliable infrastructure, supporting platforms, and technical support to AI/ML and product engineering teams. This is a hands-on individual contributor role with technical leadership responsibilities, contributing directly to the company’s AI transformation.

Key Responsibilities

• Lead the development of model training platforms and workflows, supporting resource scheduling, job management, and troubleshooting for training and fine-tuning workloads.

• Build and operate model inference capabilities, covering open-source model deployment and external LLM API integration, with centralized access, permission, quota, and request management.

• Build training data management capabilities, including dataset storage, versioning, quality checks, access control, and traceability.

• Develop supporting platforms and automation for lifecycle management, deployment, and monitoring of models, training jobs, and inference services.

• Improve GPU and compute resource utilization, and optimize the reliability, performance, and cost of training and inference workloads.

• Participate in a team on-call rotation providing 24/7 coverage for supported production services, resolve incidents, and drive continuous improvement.

• Collaborate with AI/ML, engineering, and security teams to provide platform support and technical guidance, enabling AI adoption across the company.