Top Tech Jobs & Startup Jobs in Dublin

Own the architectural layer for AI-native product engineering, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step LLM agent systems, and AI code review optimization. Ship backend code, set technical direction, and partner with product teams to deliver validated AI-first features. The role requires strong backend, distributed systems, event-driven architecture, LLM, and AI coding tool experience.

Build and lead full-stack growth features across onboarding, monetization, retention, and AI-driven experimentation. Own architectural direction for AI-first product engineering, including agent workflows, scalable codebases, API contracts, documentation, and evaluation systems. Partner with product, design, and data teams to validate ideas quickly, measure outcomes, mentor engineers, and improve learning velocity.

Lead Developer Experience engineering and AI-native architecture initiatives. Build Kotlin services, Go internal tooling, developer platforms, CI/CD improvements, observability, reliability guardrails, and self-service workflows. Establish AI-ready codebase standards, context infrastructure, agent workflows, and AI code-review optimization. Partner across teams, define and measure developer-experience metrics, validate solutions with users, and promote product-minded engineering practices.

As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

As a Senior Backend Product Engineer, you will develop backend systems, enhance user experiences, collaborate with cross-functional teams, and ensure AI integration in product development.

The role involves building AI-ready web applications, collaborating with product managers and designers, and improving workflows based on user feedback.