Fashion AI Solutions Engineer - Data & Tech

Metyis AG; Porto; Presencial; EUR 45 000 - 75 000; Tempo integral

Resumo da oferta

Metyis AG in Porto is seeking an AI Solutions Engineer to join our Data and Analytics team at the Digital Campus. The role focuses on building and refining AI-powered solutions across the full lifecycle, from prototyping to production.

You will collaborate with global data teams, design knowledge graphs, and advance RAG pipelines, while applying prompt, context, and memory engineering to maximize system reliability. English fluency is required.

Qualificações

• 2-4 years of professional experience in relevant roles.
• Strong programming skills in at least one modern language (Python is a plus) and Git.
• Hands-on Experience building LLM-based systems and orchestration frameworks.
• Familiarity with Retrieval-Augmented Generation (RAG) pipelines is a plus.
• Understanding of data quality, lineage, semantics, and governance.

Responsabilidades

• Design, implement, and refine AI solutions across the lifecycle from prototyping to production deployment.
• Collaborate with central and local data teams to define the context layer, knowledge graphs, governance graphs and RAG architectures.
• Apply prompt, context, and memory engineering to maximize model performance in production.
• Translate business requirements into AI-driven use cases and workflows.
• Stay updated on AI developments and bring innovations back to the team.
• Contribute to the design of agentic AI systems and orchestration architectures.
• Document methodologies and build reusable knowledge assets.

Conhecimentos

2-4 years experience

Python

Git

Software engineering

LLM-based systems

Communication

English fluency

International/consulting

AI concepts

Ferramentas

LangChain

LlamaIndex

LangGraph

Knowledge graphs

Ontologies

Descrição da oferta de emprego

Metyis AG in Porto is seeking an AI Solutions Engineer to join our Data and Analytics team at the Digital Campus. The role focuses on building and refining AI-powered solutions across the full lifecycle, from prototyping to production.

You will collaborate with global data teams, design knowledge graphs, and advance RAG pipelines, while applying prompt, context, and memory engineering to maximize system reliability. English fluency is required.