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AI and GenAI Engineer

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EDP

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Location:
Portugal, Lisbon

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The DGU Global DGU Data & AI Strat, Gov & Tech CoE is looking to recruit an AI and GenAI Engineer to support the development of GenAI- and LLM-based solutions and work on AI/GenAI components integration.

Job Responsibility:

  • Support the development of GenAI- and LLM-based solutions, applying techniques such as Retrieval-Augmented Generation (RAG) and integrating generative models into enterprise applications
  • Collaborate in the technical design and implementation of AI/GenAI components, both on the frontend and backend, under the guidance of senior architects
  • Participate in the integration of AI models with APIs, cloud services, and vector databases
  • Contribute to the design and optimization of CI/CD pipelines and DevOps practices in Azure (or equivalent cloud environments)
  • Stay up to date with emerging trends in GenAI, LLMs, and AI frameworks, proposing improvements and new ideas
  • Assist in technical documentation and collaborate with multidisciplinary teams (Data Science, Engineering, and Business)
  • Ensure quality, scalability, and security of developed applications by applying coding and architectural best practices
  • Participate in innovation projects and Proofs of Concept (PoCs) to test new GenAI approaches and tools

Requirements:

  • Degree, Master's, or Doctorate in engineering or related field
  • 2–5 years of professional experience in software development, data engineering, or AI, with interest and applied knowledge in GenAI and AI architectures
  • Hands-on experience integrating and using generative models (LLMs) within applications or workflows
  • Proficiency in programming languages such as Python, JavaScript/TypeScript, or C#
  • Knowledge of AI/GenAI frameworks and libraries, such as LangChain, LlamaIndex, Hugging Face, OpenAI API, etc.
  • Familiarity with cloud services (Azure, AWS, or GCP) and basic understanding of distributed application architectures
  • Basic knowledge of CI/CD, DevOps, and containerization tools (Docker, Kubernetes)
  • Experience collaborating with Data Science and Software Engineering teams
  • Fast learner with curiosity and motivation to explore new AI/GenAI solutions focused on business value
  • Strong analytical and problem-solving skills
  • Ability to work collaboratively across multidisciplinary teams
  • Excellent communication skills, capable of translating technical concepts into business language
  • Proactive mindset with a focus on innovation, continuous improvement, and operational excellence
What we offer:
  • Positive and innovative work environment that promotes collaboration and agile decision-making
  • Flexible, healthy, and inclusive workplace
  • Development and internal mobility opportunities

Additional Information:

Job Posted:
November 28, 2025

Expiration:
December 08, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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