AI Engineer – Agentic & Generative AI (m/f/d)

Notes for Muhajirs: This is a hands-on engineering role building Agentic AI and Generative AI solutions for a major digital transformation initiative. It suits someone who has personally built, fine-tuned and deployed AI solutions into production, not only experimented with them.

About the role: The AI Engineer designs and implements Agentic AI workflows, including tool and function calling, orchestration, automated decision flows and system integrations. Duties include building and deploying production-grade retrieval-augmented generation pipelines covering document ingestion, chunking, embeddings, vector search, retrieval and grounded generation, and fine-tuning large language models using LoRA and/or QLoRA, including dataset preparation, training, evaluation and optimisation. The role develops production AI applications and services using Python, integrates large language models and AI agents with APIs, enterprise systems and data sources, implements evaluation frameworks and guardrails for model accuracy, quality, safety and reliability, and monitors production AI systems for performance, latency, model quality and drift.

Requirements: Hands-on implementation of AI agents or agentic workflows in real-world applications. Must have personally fine-tuned large language models using LoRA and/or QLoRA. Must have personally built and deployed retrieval-augmented generation solutions into production, including embeddings, retrieval and vector databases. Strong and currently hands-on Python development for AI and machine learning applications and production systems. Approximately 3 - 5 years of hands-on AI and machine learning engineering experience, ideally within approximately 6 years of overall professional experience.

Location: Abu Dhabi, United Arab Emirates

Source: Bayt, 10 Nov 2026