TL;DR

AI Platform & Application Engineer (AI): Building and implementing production-ready AI solutions including LLM pipelines, RAG systems, Conversational AI, and ML services on Azure with an accent on reliability, scalability, and continuous improvement across AI workloads. Focus on developing modular Python code for AI components, building APIs, orchestration scripts, and integration layers for enterprise applications.

Location: Service Region: Middle East

Company

%hirify_global% is a global IT consulting and services company.

What you will do

Build and implement production-ready AI solutions (LLM pipelines, RAG systems, Conversational AI, ML services on Azure).
Develop modular Python code for LLM, RAG, and ML components.
Build APIs, orchestration scripts, and integration layers for enterprise applications.
Implement RAG workflows, vector DB configurations, and prompt engineering.
Deploy and monitor AI models using containerization and CI/CD pipelines.
Collaborate with architects and product teams to refine designs and deliverables.

Requirements

Strong Python and advanced RAG Workflow experience.
Hands-on experience with agentic GenAI components and ML pipelines.
Expertise in Data Science on Azure, Generative AI Fundamentals, and Machine Learning Solution Design.

Nice to have

Arabic proficiency