Dev Ops Engineer, Back-end Engineer, Conversational AI

Rabobank

Backend engineer building secure, scalable conversational AI services for Rabobank, a Dutch cooperative bank. Integrating AI agents with core banking systems across customer-facing banking channels.

Posted 8/5/2026full-timeUtrecht • 🇳🇱 NetherlandsMid-LevelSenior💰 €5,030 - €7,183 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable backend architectures for AI-driven conversational workflows, integrating AI agents with core banking systems, and ensuring performance, security, and observability of backend services. Strong collaboration skills with multidisciplinary teams to deliver end-to-end AI capabilities in financial services.

Highest-signal resume keywords

Backend Software EngineeringPython ProgrammingJava ProgrammingAI-Agent IntegrationDistributed Systems

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Hard Skills

Backend Software EngineeringPython ProgrammingJava ProgrammingREST APIsEvent-Driven ArchitecturesAI-Agent ArchitecturesContext ManagementOrchestrationScalable ArchitecturesObservability

Soft Skills

Analytical ThinkingProblem-SolvingProactive CollaborationCustomer-Focused AttitudeOwnership Mindset

Industry Keywords

AI AgentsFinancial ServicesConversational SolutionsSecure APIsPerformance Safeguarding

Tech Stack

Tools & technologies

Distributed SystemsJavaPython

About the role

Key responsibilities & impact

Build robust backend services that enable AI agents to deliver meaningful, secure, and explainable customer interactions
Design integrations connecting AI agents with core banking systems
Deliver AI-powered backend services providing real-time financial insights and explanations
Improve agent-to-agent integrations so conversational solutions collaborate securely with other services
Design scalable and observable services for unpredictable conversational workloads
Design and implement scalable backend architectures supporting 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
Collaborate with engineers, analysts, designers, and data specialists to deliver end-to-end AI capabilities

Requirements

What you’ll need

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
Ability to work 36 hours per week
Reliability check as part of the procedure

Benefits

Comp & perks

Gross monthly salary between € 5.030 and € 7.183
Thirteenth month's salary
8% holiday allowance
10% Employee Benefit Budget
EUR 1,400 development budget per year
Hybrid working: balance between home and office work
A pension, for which you can set the maximum amount of your personal contribution