AI Platform Engineer

📋 Description Design, build, and maintain the AI execution platform for reliable, scalable AI systems. Own architecture decisions to productionize AI agent systems and ensure platform reliability. Develop evaluation layers for safe, accurate, production-ready AI. Create golden test suites, safety checks, and CI gates to prevent unreliable AI. Build AI agent portfolios supporting business workflows (reporting, drafting, analysis, triage Develop meta-level systems to monitor performance and drive platform improvements. 🎯 Requirements Proven experience building and deploying production LLM agent systems used by real users. Strong understanding of AI evaluation methodologies and automated quality gates. Experience designing reliable AI workflows with governance, traceability, and correctness. Deep API integration with business systems and MCP servers. Strong Python skills and experience with cloud platforms (GCP) and IaC tools. Ability to independently design, deploy, monitor, troubleshoot, and improve production systems end 🎁 Benefits Fully remote opportunity with global flexibility. Remote-first culture with coworking support via WeWork or allowance. Employee equity ownership program. Technology allowance for home office setup. Comprehensive health benefits for employee and dependents. Annual off-site gatherings for collaboration and team building.