Overview
Design, develop, and deploy production-grade agentic AI systems and LLM-powered solutions to support the Arab Development Portal and the broader DSDSD innovation mandate.
Key Responsibilities
- Architect and implement multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or equivalent.
- Design and deploy Retrieval-Augmented Generation (RAG) systems.
- Implement tool-use and function-calling patterns.
- Develop agent evaluation frameworks.
- Integrate and benchmark state-of-the-art LLMs.
- Apply prompt engineering, structured output generation, and chain-of-thought techniques.
- Explore and implement fine-tuning strategies.
- Monitor and optimize inference costs, latency, and throughput.
- Design and implement RESTful and streaming APIs.
- Containerize AI services using Docker.
- Maintain documentation, versioning, and model cards.
- Continuously monitor and evaluate emerging AI research, frameworks, and tooling.
- Collaborate with data engineers, ML engineers, and domain experts.
- Prepare technical reports, demonstrations, and presentations.
Required Experience
- A minimum of 5 years of professional experience in AI/ML engineering or software engineering with a demonstrated AI focus is required.
- Hands-on experience designing and deploying agentic systems using multi-agent frameworks (LangGraph, AutoGen, CrewAI, or equivalent) is required.
- Proficiency in Python and experience with LLM APIs (OpenAI, Anthropic, Mistral, or open-source alternatives via Ollama or HuggingFace) is required.
- Demonstrated knowledge of the current LLM and AI landscape, including frontier model capabilities, benchmarks, and limitations, is required.
- Experience with RAG architectures, vector databases (FAISS, Weaviate, Qdrant, or equivalent), and semantic search is desirable.
- Familiarity with model fine-tuning, RLHF, and evaluation methodologies is desirable.
- Knowledge of Arabic NLP and multilingual model handling is desirable.
Qualifications
- A bachelor's degree in computer science, artificial intelligence, data science, or a related field is required.
- A master's degree in computer science, artificial intelligence, data science, or a related field is desirable.
