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.