MLOps & Agentic Platform Engineer (AI Infrastructure)
Posted Updated
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
As published by greenhouse · 10 questions · 1 written answer
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
Short answers (6)
- Preferred First Name optional
- Website optional
- LinkedIn Profile optional
- Notice Period
- Current Annual Salary (with Currency)
- Expected Annual Salary (with Currency)
Pick from a list (3)
- Working Location
- Do you have any Web3 experience?
- Web3 Vertical Experience
Written answers (1)
- Any personal experience in Web3 (e.g. side project, personal investment) if no professional experience.