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Alef Education
AI

Lead AI Engineer

Alef Education · Abu Dhabi, AZ, AE · $14k

Actively hiring Posted 16 days ago
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Role overview

Lead AI Engineer will lead and manage AI Engineering Team, delivering projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in the final deployment. The role combines technical leadership, people management, and applied AI Engineering, ensuring AI innovation translates into real educational impact.

Responsibilities

  • Drive the end-to-end delivery of scalable AI and Generative AI features, from initial conceptualization and prototyping through fast, reliable deployment, and continuous monitoring in live learning environments.
  • Prioritize scalable implementation and efficient deployment strategies on Azure, leveraging CI/CD and MLOps principles. Ensure engineering excellence through rigorous technical reviews, maintaining high code quality and architecture standards.
  • Partner closely with Product and Engineering teams to align AI innovation with user needs and business goals, providing clear communication on project status, risks, and technical decisions.
  • Guide the AI engineering team in building reusable tools, frameworks, and experimentation pipelines to accelerate future feature launches.
  • Stay updated on the latest Gen AI trends and technologies, applying findings pragmatically.
  • Promote a strong innovation culture through mentoring, workshops, and documentation.
  • Ensure all AI solutions meet safety, privacy, and ethical standards before scale-up.
  • Bachelor's degree in Computer Science, Software Engineering or related preferred.
  • 10+ yrs AI/ML engineering or equivalent software engineering background with, 3+ yrs hands-on Gen AI (LLMs, Agents, RAG, diffusion, etc.); Ed-Tech industry experience preferred.
  • AI/ML Specialty certs (AWS/GCP/Azure) or peer-reviewed publications/patents preferred.
  • Familiarity with Azure AI Services and Azure AI Foundry preferred.
  • Proven end-to-end scalable AI applications in production.
  • MLOps & CI/CD experience.
  • Fluent English presentation & writing.
  • Strong Python development expertise with; cloud deployment on Azure/AWS; Usage of AI Coding Agents.
  • Innovative, creative, and passionate mindset, and willing to learn.
  • Proven leadership of AI projects or teams.
  • Fluency in English; Arabic is preferred.

Benefits

  • Annual flight allowance
  • Annual performance bonus
  • Education allowance
  • Life insurance
  • Enhanced leave policy
  • A hybrid work model and up to 40 remote working days per year to work from anywhere (with flexibility built in)

Tags & focus areas

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Fulltime Remote Ai Ai Engineer

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