Lead AI Engineer
Actively Hiring
Full-time $14k Posted about 2 months ago
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
- check_circle 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.
- check_circle 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.
- check_circle 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.
- check_circle Guide the AI engineering team in building reusable tools, frameworks, and experimentation pipelines to accelerate future feature launches.
- check_circle Stay updated on the latest Gen AI trends and technologies, applying findings pragmatically.
- check_circle Promote a strong innovation culture through mentoring, workshops, and documentation.
- check_circle Ensure all AI solutions meet safety, privacy, and ethical standards before scale-up.
- check_circle Bachelor's degree in Computer Science, Software Engineering or related preferred.
- check_circle 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.
- check_circle AI/ML Specialty certs (AWS/GCP/Azure) or peer-reviewed publications/patents preferred.
- check_circle Familiarity with Azure AI Services and Azure AI Foundry preferred.
- check_circle Proven end-to-end scalable AI applications in production.
- check_circle MLOps & CI/CD experience.
- check_circle Fluent English presentation & writing.
- check_circle Strong Python development expertise with; cloud deployment on Azure/AWS; Usage of AI Coding Agents.
- check_circle Innovative, creative, and passionate mindset, and willing to learn.
- check_circle Proven leadership of AI projects or teams.
- check_circle Fluency in English; Arabic is preferred.
Benefits
- check_circle Annual flight allowance
- check_circle Annual performance bonus
- check_circle Education allowance
- check_circle Life insurance
- check_circle Enhanced leave policy
- check_circle A hybrid work model and up to 40 remote working days per year to work from anywhere (with flexibility built in)
Tags & Focus Areas
Fulltime Remote Ai Ai Engineer