MLOps & Agentic Platform Engineer (AI Infrastructure)
AustraliamidQuick Summary
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,
Strong DevOps/MLOps background (Kubernetes, Docker, Terraform). Experience with MLflow, Weights & Biases, or LangSmith. Knowledge of building scalable microservice architectures.
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
~1 min read- →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.
Requirements
~1 min read- Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
- Experience with MLflow, Weights & Biases, or LangSmith.
- Knowledge of building scalable microservice architectures.
Location & Eligibility
Listing Details
- Posted
- April 24, 2026
- First seen
- April 24, 2026
- Last seen
- May 4, 2026
Posting Health
- Days active
- 10
- Repost count
- 0
- Trust Level
- 35%
- Scored at
- May 4, 2026
Signal breakdown
Web3 and AI talent recruitment agency based in Hong Kong with 700+ placements globally
Please let Hyphenconnect know you found this job on Jobera.
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MLOps & Agentic Platform Engineer (AI Infrastructure)