Platform Engineer, AI Enablement

📋 Description Design, build, and operate infrastructure that enables safe and cost-effective access to AI models Build the runtime, services, and developer tooling used to run agentic workflows in production. Create observability across cost, performance, reliability, and usage through metrics, tracing, and Implement governance and safety controls that make AI use secure, compliant, and auditable. Develop reusable platform primitives, integrations, and guardrails that reduce one-off solutions. Contribute to standards and best practices for designing, building, and deploying agents. 🎯 Requirements 3+ years of software engineering experience building APIs, services, and developer tooling. Strong system-design fundamentals and experience making infrastructure decisions that affect Experience building and operating platforms or infrastructure used by other engineering teams. Hands-on experience with cloud infrastructure, Kubernetes, and infrastructure as code. Familiarity with LLM APIs and the surrounding ecosystem, including model providers, gateways, MCP Experience building observability into distributed systems using metrics, tracing, and logging.