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Build, fine-tune, and evaluate LLM-based agents for transforming user prompts into
frontend/backend code
Design prompt parsing systems using tools like LlamaIndex, semantic embeddings, and retrievers
Develop and maintain data pipelines to ingest feedback and improve AI accuracy
Create custom prompts, templates, and workflows that generate React components and API logic
Integrate with external APIs like Supabase, Clerk, Stripe, Resend, and OpenAI
Write tests, debug performance issues, and continuously improve code output quality
Leverage vector search technologies to enhance Arabic language model capabilities and
information retrieval systems

1+ years of experience with AI orchestration
Advanced programming skills in Python, Node.js, TypeScript, and FastAPI
Experience with LlamaIndex, HuggingFace Transformers, ChromaDB, or Pinecone
Frontend proficiency in React, Vite, Tailwind CSS, and component libraries
Familiarity with CI/CD workflows, Git, and modern dev environments
Exposure to prompt engineering, LLM fine-tuning, and real-time inference optimization

Why join us?
You’ll help build the brain of a platform that turns text into full-stack magic. Shape how the next generation of apps are created—with clarity, context, and care.