MLOps & Agentic Platform Engineer (AI Infrastructure)

Added
6 minutes ago
Type
Full time
Salary
Salary not provided

Related skills

docker terraform kubernetes microservices mlflow

๐Ÿ“‹ Description

  • 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.

๐ŸŽฏ Requirements

  • Strong DevOps/MLOps background with Kubernetes, Docker, Terraform.
  • Experience with MLflow, Weights & Biases, or LangSmith.
  • Knowledge of building scalable microservice architectures.
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