AI Engineer

Employee

Job Description

Alef Education began with a bold idea: that every learner deserves a personalised and meaningful education experience. What started in 2016 as a small pilot programme in Abu Dhabi has evolved into one of the world’s most dynamic EdTech companies—reshaping how millions of students engage with learning across the globe.

Today, Alef is proudly headquartered in the UAE, working hand-in-hand with ministries of education, schools, and teachers to bring smart, data-powered platforms into classrooms in over 14,000 schools.

Supporting over 1.1 million students and 50,000 teachers across the UAE, Indonesia & Morocco our AI-driven platforms generate 16+ million data points every day, helping drive smarter learning decisions. Whether it’s improving national exam results, boosting classroom engagement, or supporting educators with world‑class tools, Alef is committed to impact at scale.

In 2024, Alef made history as the first EdTech company to list on the Abu Dhabi Securities Exchange (ADX), cementing our role as a regional innovator with global reach.

At Alef Education, we are at the forefront of digital innovation in Education, leveraging advanced AI to revolutionise education. We foster a collaborative, fast-paced environment where creativity, deep technical expertise, and problem‑solving are highly valued. Every team member contributes directly to our groundbreaking products and solutions that are shaping the future of Education

As AI Engineer will be instrumental in transforming our vision into reality by designing, developing, and deploying cutting‑edge generative AI solutions that drive significant business impact and enhance user experiences. You will be at the intersection of AI research and practical software engineering, building and integrating advanced generative models into scalable, production‑ready systems. You will play a critical role in shaping our AI strategy and delivering solutions

• Design & Develop GenAI Applications:
  Architect and implement end‑to‑end AI solutions using Python and modern AI/ML frameworks, including LLMs like GPT and Llama models.
• Prompt Engineering:
  Engineer, test, and optimise prompts for large language models to achieve accurate, context‑aware outputs.
• Retrieval‑Augmented Generation (RAG):
  Build and maintain RAG pipelines that aggregate and synthesize data from conversation histories, product documentation, and other sources.
• Vector Database Integration:
  Integrate and manage vector embeddings and semantic search using databases such as Pinecone, Weaviate, or FAISS.
• Agent Orchestration & Inference:
  Architect workflows for agent orchestration, model selection, prompt configuration, and inference optimisation to enable scalable AI applications.
• Collaboration:
  
  Partner with product managers, data scientists, Dev Ops, and UX/UI teams to align AI deliverables with business goals and user needs.
• Documentation & Testing:
  Ensure robust testing, monitoring, and documentation of AI models, pipelines, and APIs to maintain reliability and compliance.
• Design, deploy, and manage AI workloads using Azure AI services—including Azure OpenAI, Cognitive Services, and AI Search—for secure, compliant, and scalable solutions.
• Keep up with the latest advancements in generative AI research, models, and technologies—and apply cutting‑edge techniques and best practices to our products and infrastructure.

• Educational degree related to Statistics, Computer Science or related preferred
• Minimum 5 years of relevant experience
• Proficiency in Python, including extensive experience with AI/ML frameworks like Tensor Flow, PyTorch, and Hugging Face Transformers. Knowledge of Java, R, and C++ is also…