(Senior) Back-end Engineer Conversational AI
Role details
Job location
Tech stack
Job description
You contribute to AI-driven customer interactions for more than 8 million customers, working 36 hours per week on scalable backend services that power conversational banking., Build robust backend services that enable AI agents to deliver meaningful, secure, and explainable customer interactions. As a (Senior) Back-end Engineer Conversational AI, you design integrations that connect AI agents with core banking systems, ensuring context-aware conversations and smooth orchestration across services in a complex enterprise environment., * Deliver AI-powered backend services that provide customers with real-time financial insights and explanations.
- Improve agent-to-agent integrations that allow conversational solutions to collaborate with other services securely.
- Strengthen backend reliability by designing scalable and observable services for unpredictable conversational workloads.
Facts & Figures
- 36 hours per week.
- At least 1 fixed on-site collaboration day per week in Utrecht as part of a hybrid setup.
- 9.5 million customers worldwide.
Top 3 responsibilities
- Design and implement scalable backend architectures that support AI-driven conversational workflows across multiple banking domains.
- Integrate AI agents with internal services using secure APIs, event-driven patterns, and reliable context propagation mechanisms.
- Safeguard performance, security, and observability of backend systems supporting customer-facing conversational solutions.
You work within the Digital & Customer Interaction area, contributing to conversational solutions that enhance customer experience across channels. You collaborate closely with engineers, analysts, designers, and data specialists to deliver end-to-end AI capabilities.
Requirements
- 5+ years of experience in backend software engineering within complex, production-grade environments.
- Proven experience integrating AI or LLM-based components into backend systems, including context management and orchestration.
- Strong experience with Python and Java in enterprise-scale applications.
- Solid knowledge of distributed systems, REST APIs, and event-driven architectures.
- Experience with AI-agent architectures such as tool invocation and conversation state management.
- Strong ownership mindset and ability to make architectural trade-offs.
- Customer-focused attitude with understanding of explainability and trust in financial services.
- Analytical thinking combined with problem-solving skills.
- Proactive collaboration skills in multidisciplinary teams.
Benefits & conditions
- Salary: Gross monthly salary between EUR 4,931 and EUR 7,043 (scale 09) for a 36-hour work week.
- Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
- Development budget: EUR 1,400 development budget per year for your growth and development.
- Hybrid working: a balance between home and office work (possible for most roles).
- Pension: decide for yourself the amount of your personal contribution.
Or view all our benefits.