Mid AI Solutions Engineer Amsterdam, Netherlands

ppAdaptfy is a turnkey data analytics solution for the SHV family of companies. We support multiple SHV Groups with advanced Data Analytics in all areas, elevating their operations in diverse industries across international markets and throughout entire valuechains. /ppAdaptfy is a joint venture formed by SHV and Metyis. Metyis embodies visionary thinking in the digital world, while SHV is a globally established family of companies built on the values of integrity, trust, curiosity, passion, and inclusivity. /ppSHV has a presence across four continents, with businesses spanning energy, heavy lifting and transport, animal nutrition aquaculture, testing, inspection certification, and more. The organisation’s history reflects its courage to care—for people, for performance, and for future generations. Their success is a testament to constant reinvention through innovation. /ppAt Adaptfy, we play a pivotal role in bringing SHV’s digital vision to life. From optimising supply chains across Europe to enhancing operational efficiency in South America, we connect the dots for SHV, shaping a data-driven future for the entire family of companies. /ph3What we offer /h3pA pioneering role in one of the most rapidly evolving disciplines in applied AI, with genuine scope to define how it is practiced within a large organization. /ppDeep technical immersion across the full AI stack, from data foundations and knowledge graphs to agentic systems and LLM orchestration. /ppClose collaboration with both central and local data teams, as well as business stakeholders, giving you breadth and depth of exposure. /ppThe chance to build reusable AI assets and infrastructure that generate lasting business value at scale. /ppA culture of experimentation, continuous learning, and knowledge sharing within a global, diverse team /ph3What you will do /h3pDesign, implement, and continuously refine AI solutions and products, working across the full lifecycle from prototyping to production deployment. /ppWork closely with central and local data teams to define, create, and maintain the organization’s context layer, optimized for AI use. This includes knowledge graphs, ontologies, governance graphs, data lineage frameworks, and RAG pipeline architectures. /ppApply advanced prompt engineering, context engineering, memory engineering, and harness engineering techniques to maximize the performance and reliability of AI models in production. /ppTranslate business requirements and operational challenges into AI-transformed use cases and workflows, identifying where intelligent automation or augmentation can deliver the most value. /ppStay at the forefront of developments in the AI space, including the latest models, tools, and frameworks, and bring relevant innovations back into the team's practice. /ppContribute to the design of agentic AI systems and AI orchestration architectures, ensuring they are robust, scalable, and aligned with enterprise governance requirements. /ppDocument methodologies, prompt libraries, and context engineering standards to build reusable institutional knowledge. /ph3What you will bring /h3p1-4 years of professional experience as a software engineer, data scientist, data engineer, or AI engineer. /ppStrong programming skills in at least one modern language (Python is a plus, but not required), proficiency with Git, and solid software engineering practices. /ppHands-on experience building LLM-based systems, including prompt engineering and at least one orchestration framework (e.g., LangChain, LlamaIndex, LangGraph). /ppSolid understanding of Retrieval-Augmented Generation (RAG) pipelines and their design considerations. /ppDeep understanding of general data science principles, including data quality, lineage, semantics, and governance. /ppStrong awareness of the current AI landscape, including leading LLMs, multimodal models, agentic frameworks, and orchestration tools. /ppPractical experience with knowledge graphs, ontologies, or semantic data models is a plus. /ppAbility to combine technical rigor with practical business sense, turning real-world challenges into well-designed AI workflows. /ppStrong communication skills, with the ability to explain complex AI concepts to non-specialist audiences. /ppFluency in English; additional languages are a plus. /ppExperience in international, consulting, or scale-up environments is a plus. /ph3We are united by our differences /h3pAt Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow. /p /p #J-18808-Ljbffr