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hyphenconnect Greenhouse · Posted 1mo ago

MLOps & Agentic Platform Engineer (AI Infrastructure)

United States

Engineering Greenhouse
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Indexed description

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:

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

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