AI Engineer

Role OverviewWe are looking for a Mid-Level AI Engineer with hands-on experience in Natural Language Processing, LLM-based applications, RAG, and speech/voice technologies. The engineer will help design, build, evaluate, and deploy AI-powered solutions for education, automation, content operations, and user engagement.This role is important for the Fahem roadmap and the wider AI layer across the eyouth learning journey,including in-course tutoring, transcription, quiz generation, Arabic AI capabilities, and trainer evaluation.Key Responsibilities* Design and develop AI applications using LLMs, NLP techniques, and production-ready Python services.* Build conversational AI systems, chatbots, AI assistants, and education-focused copilots.* Develop and optimize voice AI pipelines, including Speech-to-Text, Text-to-Speech, and voice interactionflows.* Implement Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases,and approved knowledge sources.* Fine-tune, evaluate, and monitor language models for production use cases where appropriate.* Build REST APIs and scalable backend services for AI-powered features.* Integrate OpenAI APIs, Hugging Face models, LangChain/LlamaIndex, and other AI services.* Work on Arabic NLP use cases, including Arabic content understanding, dialect handling, and learnersupport.* Collaborate with product, backend, frontend, data, and training teams to deliver AI-driven features.* Monitor AI quality, latency, cost, hallucination risk, and reliability in production.Requirements and Qualifications* 2-3 years of hands-on experience in AI, ML, NLP, or LLM application development.* Strong Python experience and ability to build clean, maintainable services.* Hands-on experience with NLP and LLM frameworks.* Knowledge of Arabic NLP and Arabic language use cases.* Experience with OpenAI APIs, LangChain or LlamaIndex, and Hugging Face Transformers.* Good understanding of prompt engineering, RAG systems, embeddings, and retrieval evaluation.* Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or similar.* Familiarity with REST APIs, backend development, and Git-based collaboration.* Practical experience with Voice AI, including STT, TTS, or voice interaction workflows.* Experience deploying AI systems on AWS, Azure, or GCP.* Experience fine-tuning or evaluating open-source LLMs.* Experience with AI observability, model evaluation, guardrails, and cost optimization.* Experience in EdTech, learning platforms, tutoring systems, or Arabic content products.If you meet the above requirements and are looking for a challenging and rewarding opportunity to join our team, please submit your resume to (careers@eyouthlearning.com) & mention the job title in the subject