AI Platform Engineer

📋 Description Design, build, and maintain the AI execution platform, including event-triggered workflows Own the architecture decisions required to bring AI agent systems into production and ensure the Develop the evaluation layer that determines whether AI systems are safe, accurate, and ready for Create golden test suites, behavioral evaluations, safety checks, and CI gates that prevent Build and manage a portfolio of AI agents supporting business workflows such as reporting Develop meta-level systems that monitor agent performance, identify improvements, and continuously 🎯 Requirements Proven experience building and deploying production LLM agent systems used by real users, beyond Strong understanding of AI evaluation methodologies, including golden datasets, behavioral Experience designing and implementing reliable AI workflows where correctness, traceability, and Deep API integration experience with business systems and experience creating MCP servers. Strong infrastructure engineering skills using Python, cloud platforms such as GCP, cloud data Ability to independently design, deploy, monitor, troubleshoot, and improve production systems end 🎁 Benefits Fully remote opportunity with the flexibility to work from anywhere in the world. Remote-first culture with coworking support through a WeWork membership or coworking allowance. Employee equity ownership program. Technology allowance to create an ideal home office setup with equipment of your choice. Comprehensive health benefits, including full employee health insurance coverage and dependent Annual company off-site gatherings focused on collaboration, connection, and team building.