​Applied AI Engineer

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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.

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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, an 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.

  
  

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Discover the Requirements

• 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.

  
  

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Discovered the Desired

• 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-tim interaction pipelines.

  
  

• Experience working with modern AI inference infrastructure and deployment environments.