AI Engineer for a leading international NGO

Danish Refugee Council - DRC

Staff Closes 07 Jun 2026 10 days left

Overview

This role involves designing, implementing, and integrating AI-enabled solutions to address business and operational needs, and managing the data and model lifecycle for AI systems.


Key Responsibilities
  • Translate business and operational needs into AI-enabled solutions.
  • Design and implement AI systems.
  • Integrate AI solutions into existing platforms and workflows.
  • Own the technical governance of AI capabilities.
  • Prepare, clean, and structure data for AI use.
  • Fine-tune, evaluate, and validate models.
  • Monitor AI systems in production and improve them.
  • Embed Responsible AI principles into solution design.
  • Ensure compliance with GDPR, organizational data protection policies, and donor requirements.
  • Contribute to AI governance, standards, and documentation.
  • Work closely with non-technical stakeholders.
  • Support pilots, user testing, and adoption.
  • Contribute to internal guidance, best practices, and capability building around AI.
Required Experience
  • 5+ years of software engineering experience, including strong hands-on work in full-stack development, enterprise platforms or AI solutions
  • Experience building and deploying generative AI applications
  • Knowledge of Copilot or integration of other productivity AI tools with Microsoft suite
  • Strong experience with Python and AI/ML frameworks or AI APIs.
  • Practical experience building and deploying AI solutions (not only experimentation).
  • Experience with cloud platforms (e.g. Azure), preferably using managed AI services.
  • Solid understanding of data handling, APIs, and system integration.
  • Familiarity with generative AI / LLMs, prompt design, and AI evaluation.
  • Understanding of privacy, security, and ethical considerations in AI.
  • Experience working in NGOs, public sector, or regulated environments (desirable).
  • Experience with multilingual or low-resource contexts (desirable).
  • Experience supporting non-technical users in adopting digital solutions (desirable).
Qualifications

• A master’s degree in computer science, engineering, or a related field

Other Details
Languages Required
Not specified
Languages Preferred
Not specified
Contract Duration
Permanent
Work Modality
Not specified
Remuneration
Not specified
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