Mid AI Solutions Engineer Amsterdam, Netherlands

Metyis; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Job summary

Adaptfy, a data & analytics venture within SHV and Metyis, is seeking an AI engineer/data scientist to design and deploy scalable AI solutions. You will collaborate with central and local data teams to build robust AI workflows, knowledge graphs, and RAG-based systems, driving business value across international markets.

You will work with modern languages, orchestration tools like LangChain, and stay at the forefront of AI developments while ensuring practical governance and scalable

Qualifications

• 1-4 years of professional experience as software engineer, data scientist, data engineer, or AI engineer.
• Strong programming skills in at least one modern language (Python is a plus).
• Hands-on experience building LLM-based systems, including prompt engineering and at least one orchestration framework.
• Solid understanding of Retrieval-Augmented Generation (RAG) pipelines.
• Deep understanding of data science principles, including data quality, lineage, semantics, and governance.
• Strong communication skills, with the ability to explain complex AI concepts to non-specialists.
• Fluency in English; additional languages are a plus.
• Experience in international, consulting, or scale-up environments is a plus.

Responsibilities

• Design, implement, and refine AI solutions across the full lifecycle from prototyping to production.
• Collaborate with central and local data teams to define and maintain the context layer for AI use.
• Apply prompt engineering, context engineering, memory engineering to improve model performance.
• Translate business requirements into AI-driven use cases and workflows for value creation.
• Stay updated with the latest AI models, tools, and frameworks and bring innovations into practice.
• Contribute to the design of agentic AI systems and orchestration architectures.

Skills

Python

LLM orchestration

RAG pipelines

Data science basics

Git

Tools

LangChain

LlamaIndex

LangGraph

Job description

Adaptfy 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.

Adaptfy 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.

SHV 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.

At 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.

What we offer

A 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.

Deep technical immersion across the full AI stack, from data foundations and knowledge graphs to agentic systems and LLM orchestration.

Close collaboration with both central and local data teams, as well as business stakeholders, giving you breadth and depth of exposure.

The chance to build reusable AI assets and infrastructure that generate lasting business value at scale.

A culture of experimentation, continuous learning, and knowledge sharing within a global, diverse team

What you will do

Design, implement, and continuously refine AI solutions and products, working across the full lifecycle from prototyping to production deployment.

Work 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.

Apply advanced prompt engineering, context engineering, memory engineering, and harness engineering techniques to maximize the performance and reliability of AI models in production.

Translate business requirements and operational challenges into AI-transformed use cases and workflows, identifying where intelligent automation or augmentation can deliver the most value.

Stay 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.

Contribute to the design of agentic AI systems and AI orchestration architectures, ensuring they are robust, scalable, and aligned with enterprise governance requirements.

Document methodologies, prompt libraries, and context engineering standards to build reusable institutional knowledge.

What you will bring

1-4 years of professional experience as a software engineer, data scientist, data engineer, or AI engineer.

Strong programming skills in at least one modern language (Python is a plus, but not required), proficiency with Git, and solid software engineering practices.

Hands-on experience building LLM-based systems, including prompt engineering and at least one orchestration framework (e.g., LangChain, LlamaIndex, LangGraph).

Solid understanding of Retrieval-Augmented Generation (RAG) pipelines and their design considerations.

Deep understanding of general data science principles, including data quality, lineage, semantics, and governance.

Strong awareness of the current AI landscape, including leading LLMs, multimodal models, agentic frameworks, and orchestration tools.

Practical experience with knowledge graphs, ontologies, or semantic data models is a plus.

Ability to combine technical rigor with practical business sense, turning real-world challenges into well-designed AI workflows.

Strong communication skills, with the ability to explain complex AI concepts to non-specialist audiences.

Fluency in English; additional languages are a plus.

Experience in international, consulting, or scale-up environments is a plus.

We are united by our differences

At 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.