Lead Software Engineer - AI-native infrastructure

Lead Engineer - AI-native infrastructure📍 Amsterdam, Netherlands💰 Competitive Salary💻 Startup environment🌍 EU work authorisation🌟 Build the trust layer for AI agents in productionI’m working with an early-stage, well-funded AI company building something genuinely interesting: infrastructure that helps enterprises safely run AI agents against real systems.Think visibility, governance, approval flows, policy controls, auditability, identity, permissions, isolation and guardrails... basically the layer that allows companies to use AI agents properly, without creating a security or operational mess.They’re looking for a Senior Engineer who wants to be one of the key technical people in the business. Someone hands-on, product-minded and comfortable working across backend architecture, infrastructure, product decisions, customer needs and operational reliability.You'll Be:Helping design and build the core platform from the ground up.Working on AI-centric functionality, including agent-based capabilitiesTurning complex problems around AI, access, security and infrastructure into clean product experiences. Contributing to backend architecture, technical design and engineering standardsWorking closely with the founders on product direction and technical trade-offsHelping make the platform enterprise-ready, scalable and production-gradeGetting involved with customers when technical or architectural context is needed.You'l Bring:5+ years of professional software engineering experienceStrong backend engineering abilityExperience building and operating production-grade software Good product sense and the ability to think beyond purely technical implementationConfidence working in a small, fast-moving startup environmentOwnership, pragmatism and the ability to work through ambiguity.Some experience with customers, users or external stakeholdersA genuine interest in AI-native products, agent-based systems and modern engineering workflows.Bonus points:Experience with Go, or the ability to pick it up quickly.Kubernetes and Docker experienceCloud infrastructure, databases, APIs or developer toolingSecurity awareness around access, permissions, auditability or infrastrauctureExperience with AI agents, automation, LLM workflows or tool-use systemsA strong technical academic background, especially from a TU university.Some of the Perks & Benefits:A critical early hire with real influenceWork directly with the founding teamShape product, architecture and engineering directionBuild in one of the most relevant areas of modern softwareJoin a small, senior team with strong investor backingThe chance to become a cornerstone engineer in an AI-native companyThis one is for someone who wants ownership, impact and the chance to help build serious infrastructure for the next generation of enterprise AI.