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AI Engineer

Lisboa

Job description

Cloud Architects and AI Engineers play a major role in our projects. The ability to transform proven AI and GenAI concepts and prototypes developed by data scientists into scalable, and production-grade AI applications.
This sits at the critical intersection of software development and data science, requiring both technical depth in AI/ML technologies and strong software engineering fundamentals.
The service to be provided has main focus on directing a systemic approach to AI projects support in Integration projects; supporting our client accountable and responsible developers in project outcomes with focus on the oversight and support necessary for collaborating project teams to succeed.
By partnering with developers and other project roles, AI Engineer will assist in identifying dependencies and possible issues across teams; contribute to projects delivered within our client quality standards.

Requirements

  • Senior Level - Python proficiency and its ecosystem for AI/ML development
  • Mid-Level - AI/ML concepts/implementations
  • Senior Level - Software engineering
  • Senior Level - Clear understanding of software design patterns and principles
  • Mid-Level - LLM technologies, including API integrations (OpenAI, Anthropic, etc.)
  • Mid-Level - Knowledge of RAG architectures, vector databases and embedding models
  • Mid-Level - Experience with Docker
  • Mid-Level - Understanding of CI/CD pipelines and DevOps practices

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