AI Solution Engineer

Location: Amsterdam, Netherlands

Company

hirify.global is a global firm delivering AI and data, digital commerce, marketing and design, and advisory solutions across multiple industries.

What you will do

• Support the development, testing, deployment, and continuous improvement of AI solutions and products.
• Prepare and maintain data foundations, knowledge bases, data sources, and RAG pipelines for AI use cases.
• Implement and test prompts, context strategies, and other techniques to improve AI application performance and reliability.
• Translate business and operational challenges into practical AI use cases and workflows with senior colleagues.
• Research AI models, tools, and frameworks, and contribute to AI agents and orchestration workflows.
• Document solutions, experiments, prompts, and learnings while monitoring systems and implementing improvements.

Requirements

• 1–2 years of experience in software engineering, data science, data engineering, AI, or a related technical field; relevant internships and academic projects are valued.
• Basic to intermediate programming skills in at least one modern language; Python is advantageous.
• Familiarity with Git and basic software engineering practices.
• Hands-on exposure to LLM applications, prompt engineering, or generative AI, plus a basic understanding of RAG.
• Understanding of data quality, data structures, semantics, governance, LLMs, multimodal models, AI agents, and current AI tools and frameworks.
• Fluency in English is required, alongside strong analytical, communication, problem-solving, and collaboration skills.

Nice to have

• Exposure to knowledge graphs, ontologies, semantic data models, or orchestration frameworks.
• Experience in international, consulting, or scale-up environments.
• Additional language skills.

Culture & Benefits

• Hands-on experience with applied AI and emerging AI technologies.
• Exposure to the full AI stack, including data foundations, knowledge management, RAG, LLMs, and AI-powered applications.
• Collaboration with experienced data and AI professionals and business stakeholders.
• Access to a culture of experimentation, continuous learning, and knowledge sharing.
• Work in a global and diverse team focused on collaboration, inclusion, and meaningful impact.