MLOps & Agentic Platform Engineer (AI Infrastructure)
Quick 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.
4 other jobs at Hyphenconnect
View all →Explore open roles at Hyphenconnect.
Similar Devops Engineer jobs
View all →
BackblazeRemote
BlackduckBrowse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.
MLOps & Agentic Platform Engineer (AI Infrastructure)