AI Solutions Engineer

metyisag

Amsterdam

On-site

EUR 45,000 - 65,000

Full time

3 days ago
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Job summary

Adaptfy is seeking an AI Solution Engineer to join the Data & Analytics team in Amsterdam. The role focuses on developing and refining AI solutions across the lifecycle, from prototyping to deployment, with exposure to RAG, LLMs, and knowledge management.

The ideal candidate has 1–2 years in software engineering or data AI roles, solid Python skills, and familiarity with Git. Fluency in English and collaboration with cross-functional teams are essential.

Qualifications

  • 1–2 years of professional experience in software engineering, data science, data engineering, AI, or related technical field.
  • Basic to intermediate programming skills in at least one modern 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 projects.
  • Basic understanding of Retrieval-Augmented Generation (RAG).

Responsibilities

  • Support the development, testing, and continuous improvement of AI solutions from prototyping to deployment.
  • Work with data teams to prepare data foundations for AI use cases, including data sources and knowledge bases.
  • Assist in prompts, context strategies, and techniques to improve AI performance.
  • Translate business requirements into practical AI use cases and workflows.
  • Research and experiment with new AI models and tools, sharing findings with the team.
  • Contribute to development and testing of AI agents and orchestration workflows.
  • Document AI solutions, prompts, experiments, and learnings for knowledge sharing.
  • Monitor AI solutions and implement improvements based on feedback.

Skills

Python programming
Git version control
Communication skills
Analytical thinking
English fluency

Tools

LLM tools
Knowledge graphs
Orchestration frameworks
RAG pipelines

Job description

Adaptfy is growing! We are looking for an AI Solution Engineer with 1-2 years of experience for a full-time position to join our Data & Analyticsteam in Amsterdam.

Who we are

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 value chains.

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
  • The opportunity to work in one of the most rapidly evolving areas of applied AI and develop hands-on experience with emerging AI technologies.

  • 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.

What you will bring
  • 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.

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.

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