Senior AI Engineer

Senior AI EngineerSalary: 38k-42k AED per month + benefits Abu Dhabi Discover the opportunityWe 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 roleAs 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 responsibilitiesLead the design and development of AI products from early concept to MVP, customer validation, and early production readinessTranslate ambiguous business problems into AI solution designs, experiments, architecture diagrams, and working systemsBuild LLM based applications using commercial and open source modelsBuild RAG systems including document ingestion, parsing, chunking, embeddings, vector search, hybrid search, and citation generationBuild AI agents and tool calling workflows that use APIs, databases, search, documents, business rules, and human review stepsDesign orchestration patterns for multi step AI workflows, including planning, tool execution, guardrails, retries, fallback paths, state management, and traceabilityBuild AI evaluation pipelines using golden datasets, test cases, automated checks, human review, quality scoring, regression testing, and failure analysisPartner with Senior Full Stack Engineers to integrate AI capabilities into complete products, APIs, dashboards, workflows, and customer facing experiences Discover the requirementsStrong experience building applied AI products, LLM based applications, AI platforms, or machine learning systemsArabic Speaker RequiredProven ability to lead technical direction for AI systems in complex and ambiguous environmentsHands on experience with LLMs, prompt design, embeddings, vector databases, RAG, model APIs, structured outputs, and AI orchestrationExperience building AI agents, tool calling workflows, function calling, workflow automation, or AI powered business processesStrong programming experience in Python and a solid background in production software engineering practicesExperience with AI frameworks and libraries such as LangChain, LlamaIndex, Semantic Kernel, Haystack, AutoGen, CrewAI, or similar toolsExperience with vector stores and search systems such as pgvector, Pinecone, Weaviate, Qdrant, Elasticsearch, OpenSearch, Azure AI Search, or similar platformsExperience evaluating AI systems using structured test sets, quality metrics, automated evaluation, human review, or benchmark based approachesStrong understanding of AI safety, privacy, security, prompt injection defense, data leakage prevention, and operational failure modesAbility to optimize AI systems for cost, latency, quality, reliability, and scalability