3 hours ago
Amsterdam, NetherlandsEntry Level / Mid Level
Responsibilities
- Support the development, testing, deployment, monitoring, and continuous improvement of AI solutions and products.
- Prepare and maintain data sources, knowledge bases, context foundations, and RAG pipelines for AI use cases.
- Implement and test prompts, context strategies, and techniques that improve AI application performance and reliability.
- Translate operational and business challenges into practical AI use cases and workflows with senior team members.
- Research emerging AI models, tools, and frameworks and share findings with the team.
- Contribute to the development and testing of AI agents and orchestration workflows.
- Document AI solutions, methodologies, prompts, experiments, and learnings for knowledge sharing and reuse.
- Identify issues and implement improvements based on feedback and solution performance.
Requirements
- 1–2 years of professional experience in software engineering, data science, data engineering, AI, or a related technical field.
- Relevant internships or academic projects are valued.
- Basic to intermediate programming skills in at least one modern programming language; Python is a plus.
- Familiarity with Git and basic software engineering practices.
- Hands-on exposure to LLM-based applications, prompt engineering, or generative AI through professional, academic, or personal projects.
- Basic understanding of Retrieval-Augmented Generation and how it connects AI models with external data.
- Understanding of data quality, data structures, semantics, and governance.
- Awareness of LLMs, multimodal models, AI agents, and emerging AI tools and frameworks.
- Exposure to knowledge graphs, ontologies, semantic data models, or orchestration frameworks is a plus.
- Strong analytical, problem-solving, communication, collaboration, and learning skills.
- Fluency in English; additional languages and experience in international, consulting, or scale-up environments are a plus.
Benefits
- Full-time position based in Amsterdam.
- Hands-on experience with applied AI and emerging AI technologies.
- Exposure to data foundations, knowledge management, RAG, LLMs, and AI-powered applications.
- Collaboration with experienced data and AI professionals and business stakeholders.
- Opportunities to contribute to reusable AI assets that create business value.
- Global, diverse, collaborative culture focused on experimentation, continuous learning, and knowledge sharing.
Categories
About Metyis AG
Metyis AG is a privately held consulting firm that delivers AI and data analytics, digital commerce, marketing/design, and advisory services to enterprises. It partners with B2B and B2C clients to build data platforms, e‑commerce capabilities, and operating models, typically through long-term engagements. Founded in 2013 and headquartered in Baar, Zug, the company operates from 14 offices across Europe, India, and the Middle East.