1 day ago
Porto, PortugalEntry Level
Responsibilities
- Support the development, testing, deployment, monitoring, and continuous improvement of AI solutions and products.
- Prepare and maintain data sources, knowledge bases, context foundations, and RAG pipelines for AI use cases.
- Implement and test prompts, context strategies, and other techniques to improve AI application performance and reliability.
- Help translate business requirements and operational challenges into practical AI use cases and workflows.
- Research AI models, tools, and frameworks and share relevant findings with the team.
- Contribute to the development and testing of AI agents and orchestration workflows under senior guidance.
- Document AI solutions, methodologies, prompts, experiments, and learnings for knowledge sharing and reuse.
- Identify issues in AI solutions and support improvements based on feedback and performance.
Requirements
- 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 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.
- Hands-on exposure to LLM-based applications, prompt engineering, or generative AI through professional, academic, or personal projects.
- Basic understanding of Retrieval-Augmented Generation and its use in connecting AI models with external data.
- Understanding of data quality, data structures, semantics, and governance.
- Awareness of 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, problem-solving, communication, collaboration, and learning skills.
- Fluency in English; additional languages and experience in international, consulting, or scale-up environments are a plus.
Benefits
- Opportunity to work in applied AI and gain hands-on experience with emerging AI technologies.
- Exposure to data foundations, knowledge management, RAG, LLMs, and AI-powered applications across the full AI stack.
- Close collaboration with experienced data and AI professionals and business stakeholders.
- Opportunity to contribute to AI solutions and reusable assets that create business value.
- Culture of experimentation, continuous learning, and knowledge sharing within a global and diverse team.
- Position based at the Digital Campus in Porto.
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About Metyis AG
Metyis AG is a privately held consulting firm that delivers AI and data analytics, digital commerce, marketing/design, and advisory services to enterprises. It partners with B2B and B2C clients to build data platforms, e‑commerce capabilities, and operating models, typically through long-term engagements. Founded in 2013 and headquartered in Baar, Zug, the company operates from 14 offices across Europe, India, and the Middle East.