Generative AI Engineer

Atain

Atain

Generative AI Engineer

Atain
Abu Dhabi Emirate, United Arab Emirates Full-timeFirst posted: 28 Oct 2026Last updated: 28 Oct 2026
IT Services and IT Consulting
Job Description

Role : AI / ML Engineer (Forward-Deployed)Location: Abu Dhabi Role Type: Full-TimeRole OverviewWe are seeking a hands-on, forward-deployed AI/ML Engineer with a passion for bridging the gap between cutting-edge artificial intelligence and real-world business needs. In this role, you will work closely with cross-functional business and engineering teams to translate complex enterprise challenges into scalable, production-ready AI solutions.Key ResponsibilitiesBuild & Deploy: Design, develop, and deploy advanced machine learning, Generative AI, LLM/RAG, NLP, and agentic AI solutions.Develop AI Applications: Create intelligent applications including virtual assistants, recommendation engines, and end-to-end intelligent automation systems.Rapid Prototyping & Productionization: Quickly prototype, validate, and scale AI solutions from conception to production in collaboration with business and engineering teams.System Integration: Seamlessly integrate AI models with enterprise data sources, internal applications, and core business workflows.Deployment & Monitoring: Deploy, scale, and monitor AI solutions across major Hyperscaler cloud platforms.Core Skills & QualificationsProgramming & Fundamentals: Strong proficiency in Python, SQL, and core Machine Learning/Deep Learning frameworks.GenAI & NLP Expertise: Hands-on experience with Large Language Models (LLMs), RAG architectures, NLP techniques, and vector search/embeddings.Frameworks & Tooling: Familiarity with orchestration frameworks such as LangChain, LlamaIndex, and Hugging Face (or equivalent ecosystem tools).Engineering & MLOps: Experience building robust APIs, containerization using Docker, CI/CD pipelines, and MLOps/LLMOps practices.Mindset: Strong Forward-Deployed Engineer (FDE)-style problem-solving and rapid solution engineering capabilities.Industry Preference: Prior experience or domain knowledge in the airline, aviation, or travel industry is strongly preferred.

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