Generative AI Data Scientist

About the role

We are looking for a hands‑on AI Engineer to design and implement cutting‑edge Generative AI, Agentic AI and Time‑Series machine‑learning solutions for our clients in the Middle East.

Key responsibilities

• Design, develop and deploy Generative AI applications using large language models, retrieval‑augmented generation, embeddings and vector databases.
• Build multi‑agent Agentic AI systems with LangGraph, LangChain, CrewAI or AutoGen, handling tool calling, memory and workflow orchestration.
• Create and operationalise Time‑Series forecasting and anomaly‑detection models.
• Deliver production‑grade pipelines with Python, FastAPI, MLflow, Docker, Kubernetes and CI/CD on AWS, GCP or Azure.

Required profile

• Proven end‑to‑end implementation of production AI solutions.
• Strong problem‑solving skills and ability to work in a fast‑paced, collaborative environment.

Required skills

• Python programming
• Large Language Models (LLMs)
• Retrieval‑augmented generation (RAG)
• Embeddings & vector databases
• Prompt engineering
• LangGraph, LangChain, CrewAI, AutoGen
• Multi‑agent workflow design
• Time‑Series forecasting & anomaly detection
• FastAPI, MLflow
• Docker, Kubernetes
• CI/CD pipelines
• Cloud platforms: AWS, GCP, Azure