DevOps Engineer
Core
Architect layered infrastructure for autonomous, agentic systems and production-grade AI/ML within Stanford Healthcare, integrating multi-agent frameworks with healthcare APIs.
Role type
Senior IC MLOps Engineer (AI Platform)
Builds
Robust full-stack factory for multi-agent frameworks interacting with healthcare APIs; scalable cloud infrastructure for AI/ML systems.
Domain
Healthcare + AI/ML Infrastructure
Deliverable
production ML models
Required skills
Kubernetes, Terraform, Python, CI/CD pipelines, cloud platforms (AWS/Azure/GCP), containerization (Docker), LLM management, security/compliance in AI workflows
Preferred skills
Rust or Go, microservices architecture, mentoring junior engineers
Technologies
LangGraph, CrewAI, LangSmith, Arize, PyTorch, Tensorflow, scikit-learn, GitLab CI/CD, Github Actions, CircleCI
Responsibilities
Design and maintain scalable cloud-based environments and orchestration platforms; Develop and implement CI/CD pipelines for AI/ML model deployment; Monitor and troubleshoot AI/ML systems for high availability; Maintain Kubernetes pods, container registry, and model registry; Evaluate and integrate new tools to improve MLOps processes
Seniority
Senior, hands-on IC