> Markdown version of [/jobs/ext/3151719-ai-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/3151719-ai-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Engineer - **Company:** Metyis AG - **Location:** Amsterdam, Netherlands - **Experience:** Starter - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Software Applications, Computer Programming, Information Engineering, Data Infrastructure, Data Structures, Graph Database, Python (Programming Language), Knowledge Management, Software Engineering, Large Language Models, Prompt Engineering, Generative AI, Git, Kubernetes, Data Analytics, Programming Languages - **Published:** September 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d1dc5d2126b15ec9 ## About the Role * 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 also 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. * Some hands-on exposure to LLM-based applications, prompt engineering, or generative AI through professional, academic, or personal projects. * Basic understanding of Retrieval-Augmented Generation (RAG) and how it can be used to connect AI models with external data. * Understanding of fundamental data concepts, including data quality, data structures, semantics, and governance. * Awareness of the current AI landscape, including 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 and problem-solving skills, with an interest in applying technology to real-world business challenges. * Ability and willingness to learn quickly and work collaboratively with more experienced technical and business colleagues. * Good communication skills, with the ability to explain technical concepts clearly. * Fluency in English; additional languages are a plus. * Experience in international, consulting, or scale-up environments is a plus. ## Description * Exposure to the full AI stack, including data foundations, knowledge management, RAG, LLMs, and AI-powered applications. * Close collaboration with experienced data and AI professionals, as well as business stakeholders, providing opportunities to learn across both technical and business domains. * The chance to contribute to AI solutions and reusable assets that create tangible business value. * A culture of experimentation, continuous learning, and knowledge sharing within a global and diverse team. What you will do * Support the development, testing, and continuous improvement of AI solutions and products across different stages of the lifecycle, from prototyping to deployment. * Work with central and local data teams to help prepare and maintain data and context foundations for AI use cases, including data sources, knowledge bases, and RAG pipelines. * Support the implementation and testing of prompts, context strategies, and other techniques to improve the performance and reliability of AI applications. * Work with senior team members to understand business requirements and help translate operational challenges into practical AI use cases and workflows. * Research and experiment with new AI models, tools, and frameworks, sharing relevant findings and learnings with the team. * Contribute to the development and testing of AI agents and orchestration workflows under the guidance of more experienced team members. * Help document AI solutions, methodologies, prompts, experiments, and learnings to support knowledge sharing and reuse. * Support the team in monitoring AI solutions, identifying issues, and implementing improvements based on feedback and performance. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)