Teams at Craftzing

Lead digital product teams and serve as the primary client and stakeholder contact. Own backlogs, roadmaps, scope, budgets, timelines, risks, and Scrum ceremonies while aligning business, design, and development. Analyze requirements, translate opportunities into actionable work, and identify AI applications for improved products and processes. The role requires strong communication, technical understanding of digital products, consulting experience, and fluency in Dutch and English.

Design and deliver production-grade AI/ML solutions for clients, including LLM applications, agents, RAG pipelines, and classical machine learning models. Responsibilities include discovery workshops, data preparation, prompt and context engineering, model evaluation, cloud deployment, monitoring, client presentations, sales support, and proof-of-concept development. The role combines hands-on engineering with consulting and business problem-solving.

Design, build, deploy, and operate production-grade generative AI systems, including LLM agents, conversational applications, and RAG pipelines. Develop orchestration layers, integrate vector databases and APIs, optimize prompts and context, and monitor quality, latency, cost, bias, and drift. Build CI/CD automation, testing, versioning, reproducible deployments, and safe model rollouts while collaborating with ML, software, DevOps, and infrastructure teams.