Mlops & Agentic Platform Engineer (ai Infrastructure)

Hyphen Partners

Oregon, United States
On-site
Manage model registries and continuous training loops
Deploy agents as scalable microservices on kubernetes
Build observability dashboards for token usage and latency
Hyphen Partners is seeking an MLOps & Agentic Platform Engineer to manage model registries, develop continuous training loops, and implement A/B testing infrastructure. The ideal candidate should have a strong background in DevOps/MLOps, particularly with tools like Kubernetes and Docker

Job Summary

  • The role focuses on managing model registries, developing continuous training loops, and implementing A/B testing infrastructure.
  • Candidates will deploy AI agents as scalable microservices on Kubernetes and build observability dashboards to track performance metrics.
  • The ideal candidate possesses a strong DevOps and MLOps background with expertise in containerization and infrastructure as code.

Matching Summary

Match Score: 85

Hyphen Partners is seeking an MLOps & Agentic Platform Engineer to manage model registries, develop continuous training loops, and implement A/B testing infrastructure. The ideal candidate should have a strong background in DevOps/MLOps, particularly with tools like Kubernetes and Docker.

Skills & Requirements

Must-have

  • Manage model registries and continuous training loops
  • Deploy agents as scalable microservices on Kubernetes
  • Build observability dashboards for token usage and latency
  • Strong DevOps/MLOps background with Terraform

Nice-to-have

  • Experience with MLflow or Weights & Biases
  • Knowledge of LangSmith for agent tracking
  • Ability to implement A/B testing infrastructure

Key Requirements

  • Strong DevOps/MLOps background required
  • Experience with Kubernetes and Docker
  • Proficiency in Terraform for infrastructure management

Work Rights

Not specified

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