Platform Engineer

• develop and maintain robust, scalable data pipelines and infrastructure automation workflows
• implement and manage CI/CD pipelines for automated infrastructure deployment, testing, and validation
• deploy and manage Databricks LLM Runtime or custom Hugging Face models
• integrate LangSmith for tracing, debugging, and evaluating LLM chains
• design and implement stateful agentic applications using LangGraph
• configure and manage AI Gateways
• manage and optimize Cloud Infrastructure costs
• setup infrastructure observability and performance dashboards
• establish agent-specific monitoring
• develop and manage Terraform or CloudFormation modules
• implement and enforce cloud security policies
• administer Databricks Workspaces and clusters
• enforce DevSecOps practices
• coordinate cloud software releases and vulnerability remediations
• automate deployment and scaling of agentic AI components
• perform incident response and disaster recovery planning
• collaborate with cross-functional teams to gather and implement infrastructure and data requirements

Senior AI Platform Engineer

Platform Engineer – Intermediate

Senior AI Platform Engineer