onsite

MLOps & Agentic Platform Engineer (AI Infrastructure)

This role is for an MLOps & Agentic Platform Engineer focused on AI Infrastructure. Key responsibilities include managing model registries, continuous training loops, and A/B testing, as well as deploying scalable microservices on Kubernetes and building observability dashboards.

About the role

MLOps & Agentic Platform Engineer (AI Infrastructure)

We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.

Responsibilities

Manage model registries, continuous training loops, and A/B testing infrastructure.
Deploy agents as scalable microservices on Kubernetes.
Build observability dashboards to track token usage, latency, and agent reasoning paths.

Qualifications

Experience with MLflow, Weights & Biases, or LangSmith.
Knowledge of building scalable microservice architectures.

Skills

MlopsDevOpsMicroservicesKubernetesMLflowWeights & BiasesLangsmith

DepartmentEngineering

LocationSingapore

Experience3+ years

Tenurefull-time

LevelMid-Level

Posted May 27, 2026