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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # (Medior) Back-end engineer Conversational AI - Growth Accelerator - **Company:** Coöperatieve Rabobank U.A. - **Location:** Utrecht, Netherlands - **Experience:** Experienced - **Salary:** €5,030.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Data Security, Distributed Systems, Enterprise Messaging Systems, Reliability Engineering, Systems Integration, Data Logging, Chatbots, Large Language Models, Backend, Event Driven Architecture, Build Management, Virtual Agents, Api Design, Restful APIs - **Published:** June 19, 2026 - **Apply:** https://nl.indeed.com/viewjob?jk=0cc50ae4387fb499 ## About the Role * (Senior-)level experience in backend software engineering. At least 3 years of experience in a similar role. * Backend development using Python and Java. * Designing and implementing REST APIs and integration patterns. * Familiarity with orchestration patterns (e.g. A2A, workflows). * Experience with AI-agent architectures, including tool invocation, context persistence, conversation state, and guardrails. * Event-driven architectures, messaging platforms, and distributed system patterns. * Security, privacy, and compliance considerations when exposing data to AI agents. * Observability (logging, metrics, tracing) and reliability engineering in AI-augmented systems. * Hands-on experience integrating AI/LLM-based components into backend systems, including prompt orchestration, tool/function calling, and context management. * Experience with distributed systems and API design, and familiarity with event-driven or message-based architectures. * Ideally, you have previously worked at Rabobank and are familiar with our backend and integration landscape. * A strong sense of ownership - you're proactive, quality-driven, and comfortable making architectural trade-offs in complex environments. * A customer- and outcome-focused mindset, you understand that backend design directly impacts customer trust, explainability, and experience. ## Description We are looking for a backend engineer to build the backbone of our Conversational AI interface, enabling customers to interact with the bank in a new and exciting way. You design and develop scalable backend services and orchestration logic that enable AI agents to interpret user intent, manage context and memory, and securely coordinate actions and collaborate with other agents. You & your role Banking is evolving toward a model where conversational AI becomes the primary interface between customers and the bank. Instead of navigating screens, customers increasingly interact through natural conversations, powered by AI agents that understand intent, maintain context, and guide them toward the right financial decisions. Within the Growth Accelerator 0-30, we build conversational AI capabilities and financial specific agents (e.g. for budgeting, onboarding, or financial insights) that integrate into the bank's central AI agent, which orchestrates end-to-end customer interactions. As a Backend Engineer in the Conversational AI team, you design and build the backend systems that power intelligent, reliable, and secure conversational experiences. You operate at the intersection of backend engineering, AI capabilities, and conversational design. You ensure that AI-driven interactions are not only smart, but also scalable, safe, and deeply integrated with core banking systems. You work at the intersection of conversational design, AI capabilities, and backend engineering, where you ensure that conversations are not only intelligent, but also reliable, explainable, and safe. You do not just build APIs; you actively shape how conversations are powered, how context flows through systems, and how agents collaborate to deliver meaningful outcomes. Together with product owners, business analysts, and designers, you translate customer conversations, intents, and journeys into concrete backend capabilities. You define how conversational context is stored and retrieved, how decisions are made within flows, and how responses are grounded in trusted data sources. Examples from practice * Designing and building backend services that power key conversational features to support the product orientation for Gen Z customers. * Building secure context and memory flows so conversations remain reliable, explainable and useful across customer journeys. * Integrating Large Language Models and AI agents with internal systems through clear APIs, event-driven patterns and trusted data sources. Facts & figures * 36-40 hours per week. * You work within Growth Accelerator 0-30 on innovative digital customer experiences in the Rabo App. * Over 48,000 Rabobank colleagues worldwide. Top 3 responsibilities * Design and build scalable backend services that power conversational AI features for Gen Z customers in the Rabo App. * Integrate AI agents, Large Language Models and internal systems through well-defined APIs, event-driven patterns and secure data flows. * Work with product owners, business analysts, designers, data scientists and engineers to translate customer journeys into reliable backend capabilities. You do not just build APIs. 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