AI Solutions Engineer: Craft Production AI & Knowledge Graphs

Metyis AG

Porto

Presencial

EUR 42 000 - 66 000

Tempo integral

14 dias+

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Resumo da oferta

Metyis is seeking an AI Solutions Engineer in Porto with 1-4 years of experience to join our Data and Analytics team. This role focuses on building AI products, knowledge graphs, and scalable AI workflows to deliver value across industries.

You will work with central and local data teams, applying advanced prompt engineering and orchestration techniques to drive production-grade AI systems. English fluency required.

Qualificações

  • 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).
  • Hands-on experience building LLM-based systems and orchestration frameworks.
  • Solid understanding of RAG pipelines, data quality, lineage, and governance.
  • Excellent communication and ability to explain AI concepts to non-specialists.

Responsabilidades

  • Design, implement, and refine AI solutions and products across the lifecycle from prototyping to production.
  • Collaborate with data teams to define and maintain the organization’s context layer and knowledge graphs.
  • Apply prompt, context, memory, and harness engineering to optimize AI model performance in production.
  • Translate business needs into AI workflows and identify opportunities for automation.

Conhecimentos

Python
Git
LLM deployment
Knowledge graphs

Ferramentas

LangChain
LlamaIndex
LangGraph

Descrição da oferta de emprego

Metyis is seeking an AI Solutions Engineer in Porto with 1-4 years of experience to join our Data and Analytics team. This role focuses on building AI products, knowledge graphs, and scalable AI workflows to deliver value across industries.

You will work with central and local data teams, applying advanced prompt engineering and orchestration techniques to drive production-grade AI systems. English fluency required.

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