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Applied AI Engineer
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Applied AI Engineer – Abu Dhabi
THIS ROLE REQUIRES RELOCATION TO ABU DHABI, UAE.
Relocation assistance will be provided for selected candidates.
Discover the Opportunity
We’re partnering with a major enterprise in Abu Dhabi that is building next-generation AI capabilities to power large-scale, real-world systems.
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 an enterprise level.
Discover the Role
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 operationalise AI in real-world environments.
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Discover the Responsibilities
- 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
Discover the Requirements
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- 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
Preferred experience:
- Experience building RAG systems end-to-end, including retrieval pipelines and vector search
- Familiarity with agent-based frameworks such as LangChain, LangGraph, AutoGen, 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
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