Senior AI/Infrastructure Engineer

Role overview Build and operate the runtime and cloud systems that let AI agents run durable, ongoing tasks on dedicated Linux environments. The role spans agent execution, infrastructure operations, data persistence, and the security controls needed to keep those systems reliable.

Responsibilities - Develop runtime foundations for persistent sessions, tool execution, context handling, and model selection. - Provision and maintain per-user Linux environments, including host updates, backups, and recovery. - Design persistence and queueing systems, resource limits, and safe handling of concurrent work. - Build tenant separation, secrets management, network protections, and observability into the platform. - Handle operational failures with clear recovery paths and careful incident response.

Requirements - Experience building and operating distributed systems or developer infrastructure. - Strong fundamentals in Linux, networking, TypeScript, and PostgreSQL. - Practical familiarity with agent runtimes or inference integrations. - Sound judgment around security, reliability, and failure handling. - A disciplined approach to testing and operating production systems.

Benefits and work setup - Full-time, remote role with substantial overlap with European working hours. - High cash compensation and meaningful equity are offered. - Significant ownership of architecture and operations, with direct founder collaboration. - Access to advanced AI tools and a product used by the team.