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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Content Designer - **Company:** Fujitsu - **Location:** Brussels Metropolitan Area, Belgium - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), A/B Testing, Agile Methodology, Artificial Intelligence, Component-Based Software Engineering, JIRA, HTML5, Audit Trail, Bootstrap (Software), Cascading Style Sheets (CSS), Cloud Engineering, Cyber Security, Continuous Integration, Cross-Site Request Forgery, Data Validation, DevOps, Identity and Access Management, Issue Tracking Systems, Python (Programming Language), Key Management, Network Architecture, NoSQL, OAuth, Open Source Technology, OpenShift, Performance Tuning, Scrum Methodology, Search Technologies, Software Deployment, SQL Databases, Tokenization, Web Content Accessibility Guidelines, Data Logging, Chatbots, Tailwind, ReactJS, Large Language Models, Prompt Engineering, Spring-boot, Software Security, Cross-Site Scripting (XSS), Backend, Gitlab, Git, Containerization, Webpack, Integration Tests, Infrastructure Automation Frameworks, Digital Government, Build Tools, Graphql, Front End Software Development, React Redux, Software Version Control, Docker, User Administration, Servicenow, Microservices - **Published:** August 28, 2026 - **Apply:** https://www.adzuna.be/details/5859285352 ## About the Role * Minimum number of years of experience in this position or equivalent positions: o Senior: >5 years o Medior: >3 years o Junior: >1 year * Minimum requirements o Communication skills in one of the two national languages (FR or NL) and English * for each section at least Dutch or French: very good (3/4) * and for each section at least English: very good (3/4) o Education level (Higher education or equivalent through experience) * Substantial and practical experience and knowledge of products and techniques: o Knowledge of Chatbots, AI technology, or knowledge of the UX/UI domain o Knowledge based on projects in the Chatbot AI or UX/UI domain * General skills, knowledge of products and techniques: o Affinity with agile development and design systems o Affinity with agile methodology and Scrum o Understanding of design thinking and agile working methods o Knowledge of DevOps and CI/CD pipelines o Basic knowledge of ITIL or similar methodologies o Knowledge of security principles: Understanding of security in frontend development (XSS, CSRF), general principles (input validation, audit logging), API security (rate-limiting), and best practices in DevOps. o Competencies in architecture and performance: Proficiency in event-driven, cloud-native, and network architectures, and an affinity for scalability and performance optimization. o Understanding of AI and NLP (theory): Basic knowledge and insight into NLP architectures, tokenization, cost management, Python with AI ecosystems (Transformers, LangChain), open-source LLMs, and basic integrations. o Ethical and regulatory sensitivity: Affinity with GDPR, ethics in AI, information security, access management, and digital government services. o Competencies in UX and communication: Insight into UX for conversational interfaces, accessibility, information architecture, content strategy, and skills in written/oral communication with clients. o Management and methodologies: Understanding of organizational and decision-making processes, solution- and service-oriented thinking, administrative accuracy, and user management. o Management and technical methodologies: Version control via Git/branching o Frontend development: Thorough knowledge of HTML5, CSS3, and JavaScript, experience with Vue.js/React, responsive and accessible interfaces (WCAG), use of build tools (Webpack, Vite), component-based development (Vuex, Redux), styling libraries (Tailwind, Bootstrap). o Backend development: Development in Java (Spring Boot) and Python (LangChain), integration of LLM APIs, REST/GraphQL endpoints, database management (SQL, NoSQL), authentication/authorization (OAuth2, JWT), unit/integration tests. o DevOps and infrastructure: CI/CD integration, containerization (Docker, OpenShift), cluster/namespace management, configuration pipelines (GitLab, ArgoCD), monitoring/alerting, logging (ELK), Infrastructure as Code, secrets management, microservices/AI deployment, backup strategies, troubleshooting. o AI and LLM expertise (practical): Integration of LLMs, development with LangChain, prompt engineering, RAG architectures, output validation, AI security, benchmarking, governance, guardrails (NeMo), embeddings/vector search. o Conversation design: Dialogue design, tools (Botpress, Voiceflow, Rasa), annotation/dataset training, copywriting, feedback analysis, tone of voice, collaboration with AI experts, testing flows, iteration/A/B testing, documentation. o Service management: Following up on SLAs/KPIs, organizing meetings, complaint handling, stakeholder management, reporting, support coordination, needs evaluation, service catalogs, escalation management. o Support and communication: Registration/handling of inquiries, ticketing systems (JIRA, ServiceNow), categorization/prioritization, basic tool knowledge, escalation to higher levels, support testing, customer-friendly communication, FAQs, onboarding, feedback collection. ## Related Videos - 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