MLOps & Agentic Platform Engineer (AI Infrastructure)

Reposted 2 Months Ago
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Boston, MA, USA
In-Office
Mid level
Agency • Artificial Intelligence • Blockchain • Web3
The Role
Build and operate MLOps and agentic infrastructure: manage model registries, continuous training loops, and A/B testing; deploy agents as scalable microservices on Kubernetes; and create observability dashboards tracking token usage, latency, and agent reasoning.
Summary Generated by Built In

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.

Skills Required

  • Strong DevOps/MLOps background
  • Kubernetes
  • Docker
  • Terraform
  • Experience with MLflow, Weights & Biases, or LangSmith
  • Knowledge of building scalable microservice architectures
  • Ability to build observability dashboards
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The Company
7 Employees
Year Founded: 2024

What We Do

Hyphen Connect is a Web3 and AI talent agency and crypto-integrated software solutions provider that connects blockchain, DeFi, NFT, and AI companies with specialized technical and go-to-market talent globally and remotely. They deliver headhunting, data-driven research, and recruitment services across infrastructure, exchanges, gaming, and DeFi projects, plus industry analysis and hiring insights to help clients build engineering and product teams.

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