Opportunity Description
Job Description:
1. Agentic AI System Design and Development
• Architect and implement multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or equivalent, capable of orchestrating complex reasoning, retrieval, and action pipelines.
• Design and deploy Retrieval-Augmented Generation (RAG) systems with advanced retrieval strategies (hybrid search, re-ranking, contextual compression) for knowledge-intensive tasks.
• Implement tool-use and function-calling patterns enabling agents to interact with external APIs, databases, and computational tools.
• Develop agent evaluation frameworks, including automated benchmarking, failure analysis, and iterative improvement loops.
2. LLM Integration and Optimization
• Integrate and benchmark state-of-the-art LLMs (proprietary and open-source) across use cases including information extraction, summarization, classification, and question answering on Arabic and ...
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