Senior AI Engineer

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Senior AI Engineer Salary: 38k-42k AED per month + benefits Abu Dhabi Discover the opportunity We are hiring a Senior AI Engineer to join an elite innovation hub. As part of an ambitious engineering organisation, our client explores new ideas, builds working MVPs, validates them with customers, and creates groundbreaking products across multiple domains. Discover the role As a Senior AI Engineer, you will take on a hands on technical leadership role designing, building, evaluating, and scaling applied AI systems. You will lead the development of AI enabled products, including LLM applications, RAG systems, AI agents, workflow automation, copilots, document intelligence, and AI powered decision support tools. Discover the responsibilities Lead the design and development of AI products from early concept to MVP, customer validation, and early production readiness Translate ambiguous business problems into AI solution designs, experiments, architecture diagrams, and working systems Build LLM based applications using commercial and open source models Build RAG systems including document ingestion, parsing, chunking, embeddings, vector search, hybrid search, and citation generation Build AI agents and tool calling workflows that use APIs, databases, search, documents, business rules, and human review steps Design orchestration patterns for multi step AI workflows, including planning, tool execution, guardrails, retries, fallback paths, state management, and traceability Build AI evaluation pipelines using golden datasets, test cases, automated checks, human review, quality scoring, regression testing, and failure analysis Partner with Senior Full Stack Engineers to integrate AI capabilities into complete products, APIs, dashboards, workflows, and customer facing experiences Discover the requirements Strong experience building applied AI products, LLM based applications, AI platforms, or machine learning systems Arabic Speaker Required Proven ability to lead technical direction for AI systems in complex and ambiguous environments Hands on experience with LLMs, prompt design, embeddings, vector databases, RAG, model APIs, structured outputs, and AI orchestration Experience building AI agents, tool calling workflows, function calling, workflow automation, or AI powered business processes Strong programming experience in Python and a solid background in production software engineering practices Experience with AI frameworks and libraries such as LangChain, LlamaIndex, Semantic Kernel, Haystack, AutoGen, CrewAI, or similar tools Experience with vector stores and search systems such as pgvector, Pinecone, Weaviate, Qdrant, Elasticsearch, OpenSearch, Azure AI Search, or similar platforms Experience evaluating AI systems using structured test sets, quality metrics, automated evaluation, human review, or benchmark based approaches Strong understanding of AI safety, privacy, security, prompt injection defense, data leakage prevention, and operational failure modes Ability to optimize AI systems for cost, latency, quality, reliability, and scalability