AI Engineer (LLM)

TL;DR

AI Engineer (LLM): Designing, developing, and deploying AI-driven solutions for a customer experience platform with an accent on LLMs, RAG systems, and production-grade machine learning pipelines. Focus on building scalable AI services, optimizing model performance, and integrating advanced AI capabilities into enterprise products.

Location: Must be based in Saudi Arabia (Remote)

Company

hirify.global is the leading AI-powered customer experience platform in the Arab world, helping organizations analyze customer sentiment and data at scale.

What you will do

• Design, develop, and deploy machine learning and deep learning models for production.
• Build and enhance AI applications powered by LLMs and RAG systems.
• Own the end-to-end AI lifecycle from data preparation to monitoring and optimization.
• Develop scalable APIs and inference pipelines for real-time and batch processing.
• Collaborate with product, engineering, and data teams to translate business needs into AI solutions.
• Maintain AI system reliability and performance in cloud-based containerized environments.

Requirements

• Must be based in Saudi Arabia
• 2–4 years of professional experience in AI, Machine Learning, or Data Science.
• Strong proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
• Proven experience deploying AI solutions into production environments.
• Solid understanding of LLMs, RAG, embeddings, and vector search concepts.
• Experience with Docker, cloud platforms (AWS/Azure/GCP), and API development (FastAPI/Flask).

Nice to have

• Experience with AI orchestration frameworks like LangChain or LlamaIndex.
• Familiarity with vector databases such as Pinecone, Qdrant, or Weaviate.
• Knowledge of MLOps practices, CI/CD pipelines, and model monitoring.
• Experience with agent-based AI systems or NLP applications.

Culture & Benefits

• Opportunity to work on cutting-edge AI products in the Arab region.
• Collaborative environment with cross-functional teams.
• Focus on practical experimentation and delivering measurable business impact.
• Exposure to modern AI technologies and production-grade system architecture.