Applied AI Engineer

Discovered MENA

LLM EngineerseniorLondon Area, United KingdomonsitefulltimeTechnology, Information and MediaPythonLarge Language ModelsRAGAgent-based systemsLangChainLangGraphVector databasesAPI designposted 13 Jul
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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. 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 * 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