AI Platform Engineer

📋 Description Design, build, and operate AI platform infrastructure for reliable AI systems. Own architecture for production-grade AI agents and governance. Develop evaluation layers, safety checks, and CI gates for AI readiness. Manage AI agent portfolios supporting business workflows. Build meta-level systems monitoring performance and improvements. Implement governance: least-privilege, audit logging, approvals. 🎯 Requirements Proven production experience with LLM agent systems used by real users. Strong AI evaluation methodologies: golden datasets, judge criteria, safety gates. Experience with reliable AI workflows emphasizing correctness, traceability, governance. Deep API integration with business systems and MCP servers. Strong Python, cloud (GCP), data warehouses, and IaC tooling. Ability to design, deploy, monitor, and troubleshoot production systems end-to-end. 🎁 Benefits Fully remote opportunity with global flexibility. Remote-first culture with coworking/membership support. Employee equity ownership program. Technology allowance for home office setup. Comprehensive health benefits and dependent coverage. Annual off-site gatherings and team-building.