AI Platform & Application Engineer
Job Description & How to Apply Below
AI Platform & Application Engineer
Job Description
Build and implement production-ready AI solutions including LLM pipelines, RAG systems, Conversational AI, and ML services on Azure. Ensure reliability, scalability, and continuous improvement across AI workloads.
Key Responsibilities- Develop modular Python code for LLM, RAG, and ML components.
- Build APIs, orchestration scripts, and integration layers for enterprise apps.
- 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.
- Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design
- Python (Strong) and advanced RAG Workflow experience
- Hands-on with agentic GenAI components and ML pipelines
Arabic proficiency is a plus.
Seniority levelEntry level
Employment typeFull-time
Job functionIT Services and IT Consulting
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