Hybrid AI Engineer

at Easygenerator

• Job title: AI Engineer
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Docker, ETL, JavaScript, Python, SDLC
• Location requirements: Hybrid, Alexandria, Egypt

About the role

• AI Engineer developing production-ready AI features for Easygenerator’s e-learning products. Collaborating across teams to integrate intelligent solutions for learning and assessment.

Responsibilities

• Design, develop, and deliver AI-powered features across Easygenerator’s products.
• Work with modern LLM frameworks and toolchains (LangChain, LangGraph, LangFuse, etc.) to build RAG systems, AI Agents, and dynamic authoring workflows.
• Work in a highly capable cross-functional team environment (Engineering, Product, and Design) to integrate AI seamlessly into our well architected and distributed product.
• Apply solid AI engineering principles — from planning and testing to deployment, evaluation, and continuous improvement.
• Optimize and fine-tune open-source or hosted LLMs to balance performance, accuracy, and cost.
• Contribute to LLMOps and AI observability, improving reliability, evaluation, and monitoring pipelines.
• Stay on top of emerging AI tools and frameworks, helping shape Easygenerator’s AI vision and roadmap.

Requirements

• 2+ years of experience building and deploying production-grade AI applications
• 4+ years of web application engineering experience
• Solid understanding of machine learning and deep learning fundamentals
• Practical knowledge of LLMs, their components (tokenization, attention, embeddings, vector search), and common limitations
• Hands-on experience with RAG pipelines, Agents, and Vector Stores
• Familiarity with LLMOps practices — monitoring, evaluation, and feedback loops
• Strong understanding of software engineering principles and SDLC
• Comfortable working beyond notebooks — building APIs, services, and integrations
• Strong understanding of high-level programming language like Python
• Good understanding of version control, CI/CD, testing frameworks, and data handling/ETL
• Working knowledge of Docker and containerized environments
• Familiarity with AWS or other cloud providers. (Plus)
• Basic experience with a backend framework (e.g., FastAPI, Express.js or similar). (Big Plus)

Benefits

• Health insurance
• 401(k) matching
• Remote work options