AI 產品部署整合工程師(Medical AI)
Description
工作說明
Deployment & Infrastructure
• Work with DevOp and Product Engineer in configure our product in production environments, with a heavy emphasis on complex on-premise hospital setups.
• Navigate hospital IT infrastructure constraints, design appropriate network architectures, and ensure compliance with strict security and data governance requirements.
• Manage and optimize deployment pipelines using Docker, Kubernetes, and CI/CD tools, following protocols defined by the internal DevOps team.
• Support both cloud-hosted and on-premise deployment models, adapting configurations to each customer environment.
Automation & Agentic Workflow Development
• Continuously identify deployment and integration steps that remain manual, and take ownership of automating them — through scripts, pipelines, or purpose-built AI agents.
• Develop and extend automation agents that reduce the manual footprint of each new customer deployment, contributing to a faster and more repeatable delivery process.
• Collaborate with Product R&D to feed field-discovered automation opportunities back into the platform's extensible skill framework.
System Integration & Field Operations
• Integrate our agentic platform with hospital systems through on-premise software integration, with hands-on experience in enterprise IT environments as a must.
• Validate data pipelines and ensure correct implementation of interface standards within the customer environment. HL7/FHIR knowledge is a plus.
• Collaborate with Hospital IT on how to effectively consume and integrate with our standard APIs. Own the technical relationship through the stabilization phase.
• Deploy and extend observability configurations — applying the monitoring standards designed by R&D and adding custom instrumentation (Prometheus, Grafana) where project-specific needs require it.
Cross-Functional Collaboration
需求條件
• Proficient with containerization (Docker) and orchestration (Kubernetes).
• Strong understanding of network design, server environments, and enterprise software troubleshooting.
• Solid scripting abilities (Python, Bash, etc.) with a demonstrated instinct for automation — writing scripts and agents to eliminate repetitive manual work.
• Familiarity with building or working with AI agents and automation workflows.
• Direct experience deploying and integrating on-premise IT systems within the healthcare industry, with working knowledge of HL7, FHIR, HIS, and PACS environments.
• Experience working with ML model servers and performance tracking tools (Prometheus, Grafana).
• Familiarity with Infrastructure as Code (IaC) tools like Terraform or Ansible.
• Exposure to agentic frameworks or workflow automation platforms.