GenAI Engineer

As a GenAI Engineer, you will design and implement technical solutions that bring GenAI, agentic workflows, and customer data technologies together. You will translate business needs into actionable architectures, build hands-on LLM-based prototypes, and enhance clients' customer experience stacks across ecommerce, marketing, and customer service. While primarily focused on technical delivery, you will clearly communicate your decisions to non-technical stakeholders and help teams adopt AI-driven practices that improve how they collect, activate, and use customer data

• Intermediate Data Engineering skills, in the context of Customer applications - you should be proficient with SQL database operations, have solid working knowledge of Python and/or JavaScript/TypeScript, and be comfortable using APIs and standard Cloud services.
• High-level understanding of ML concepts - you should understand the main stages of an ML/GenAI application lifecycle (data preparation, model selection, training, evaluation, deployment, monitoring).
• Hands-on GenAI experience - you should have practical experience building or integrating LLM-based applications at scale (prompt engineering, embeddings and vector databases, use of LLM APIs, evaluation frameworks, monitoring concepts).
• Knowledge of agentic patterns and workflow automation strategies in Customer Technology contexts - you should be able to propose architectures using agent-based orchestration for Customer Tech use cases (e.g. campaign content generation, CDP data analysis, …).
• Knowledge of Software Engineering best practices - including version control, clean code, testing practices, documentation standards, and modular design., * Ability to explain technical decisions to non-technical audiences - you should be comfortable articulating technical concepts, trade-offs, and solution choices to stakeholders with varying technical backgrounds.
• Experience working in the field of Customer Technology - you should have 3+ years of working experience in a professional environment in the field of Customer Technology (e.g. working on projects related to CDPs, Web/Product Analytics, Personalization, CRM, Marketing Automation, E-commerce platforms or customer service applications) and at least 1+ year hands on experience on GenAI topics
• Language proficiency - English fluency is required; Dutch proficiency is a plus.
• Educational Background - Master's degree in Computer Science, Data Science or Engineering

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