Applied AI Engineer

Discover the Opportunity

We’re partnering with a major government entity in Abu Dhabi that is building next‑generation AI capabilities to power large‑scale, real‑world systems across the public sector. This role sits within a central AI function responsible for developing and deploying advanced AI applications across multiple entities. The team is focused on leveraging cutting‑edge technologies including large language models, retrieval systems, and agent‑based workflows to deliver scalable, production‑grade solutions.

This is a unique opportunity to work at the forefront of applied AI, contributing to the development of AI‑driven systems that operate at national scale.

As an Applied AI Engineer, you will design and deliver end‑to‑end AI‑powered applications, working at the intersection of AI engineering, software development, and product delivery.

You will take ownership of building robust, production‑ready systems leveraging modern AI capabilities, translating complex requirements into scalable solutions. This role requires strong hands‑on engineering expertise combined with a deep understanding of how to ope rationalise AI in real‑world environments.

• Design and deploy production‑grade AI applications powered by large language models, including assistants, copilots, and automation tools.
• Build advanced agent‑based systems capable of multi‑step reasoning, planning, and tool integration.
• Develop end‑to‑end retrieval‑augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation.
• Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms.
• Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality.
• Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics.
• Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities.
• Collaborate with cross‑functional teams to deliver reliable, high‑performance AI systems.

• 7+ years of experience in applied AI, machine learning engineering, or software engineering roles.
• Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation.
• Proven experience building and deploying AI/ML systems in production environments.
• Hands‑on experience working with large language models and deploying LLM‑powered applications.
• Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour.
• Experience designing scalable, reliable, and high‑performance systems.

• Experience building RAG systems end‑to‑end, including retrieval pipelines and vector search.
• Familiarity with agent‑based frameworks such as Lang Chain, Lang Graph, Auto Gen, or similar.
• Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection.
• Exposure to conversational AI systems, including speech or real‑time interaction pipelines.
• Experience working with modern AI inference infrastructure and deployment environments.