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.