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.