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 ...