Senior AI / Automation Engineer

Salt
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Salary not specified
Posted
Full-time
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Job Description

Senior AI / Automation Engineer Abu Dhabi, UAE | Full-time 12 month FTE to perm The Opportunity Our client is looking for a Senior AI / Automation Engineer to build and productionise AI-powered enterprise workflows. This is not a chatbot or RAG-focused role. The ideal candidate will combine strong software engineering with hands-on experience in LLMs, agentic AI, document intelligence and enterprise automation. Key Responsibilities - Build and deploy production LLM and agentic AI workflows. - Develop tool-calling agents integrated with enterprise APIs and systems. - Build document extraction, classification and reasoning solutions. - Implement RAG, context management and structured outputs. - Integrate AI with deterministic enterprise workflows. - Build guardrails, validation, confidence thresholds and human-in-the-loop controls. - Develop automated AI evaluation and regression testing. - Implement model routing, fallback strategies and inference-cost controls. - Monitor AI quality, latency, token usage and failure rates. - Determine when AI should be used versus deterministic software. Requirements - Strong software engineering background with production AI/LLM experience. - Advanced Python and API/service development skills. - Hands-on experience with RAG, embeddings, tool/function calling and structured outputs. - Experience building asynchronous, stateful and multi-step workflows. - Strong understanding of testing, observability and production reliability. - Experience with LLM evaluation, model selection and inference economics. - Proven track record taking AI solutions from prototype to production. Strong Advantage Experience with: - Agent orchestration and multi-agent systems - Enterprise document processing and OCR - AI automation across Finance, Procurement, HR or Legal - Multi-model architectures - Enterprise security, data residency and regulated environments The key mindset: build AI that works reliably in the real world — including knowing what to do when the model is wrong *** Only successful candidates will be contacted ***

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