Generative AI Engineer
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This role is ideal for an engineer who doesn’t just experiment with AI models but can turn GenAI concepts into complete, production-ready will work across LLMs, Agentic AI, RAG, Azure, backend development, APIs, databases, and modern frontend technologies to build practical AI solutions for real-world use cases.
What You’ll Be DoingBuild and deploy LLM-powered applications, AI assistants, copilots, and autonomous/agentic solutions.
Design RAG-based systems , semantic search, embeddings, vector search, and knowledge solutions.
Develop complete AI products spanning frontend, backend, APIs, databases and AI AI models with enterprise platforms, internal systems, APIs, and data sources.
Take AI solutions from prototype → testing → production deployment.
Work with Microsoft Azure and cloud-native technologies to deploy scalable AI AI solutions with appropriate security, monitoring, evaluation, and reliability.
Collaborate with product, business, and technical stakeholders to translate requirements into working AI solutions.
What We’re Looking For3–6 years of professional experience in AI Engineering, Generative AI, Software Engineering, ML, Data Science, or a related area.
Strong hands-on experience developing GenAI / LLM-based Python skills.
Experience with JavaScript/TypeScript and modern frameworks such as React, Next.js, or Node.js.
Backend development experience with FastAPI, Flask, Node.js , or similar technologies.
Practical knowledge of RAG, AI agents, embeddings, vector databases, prompt engineering, context engineering and LLM APIs.
Experience working with Microsoft Azure and deploying applications in a cloud environment.
Good understanding of REST APIs, Git, Docker and CI/CD.
Familiarity with AI-assisted development environments such as Cursor, GitHub Copilot, Claude Code, Codex or Windsurf.
Strong software engineering fundamentals and the ability to build maintainable, production-quality Azure / AI AdvantageHands-on exposure to Azure AI Foundry, Azure AI Search, Azure Machine Learning, LangChain, LangGraph, LlamaIndex, Semantic Kernel, MLflow, Kubernetes , or LLM serving technologies will be highly valued.
A Bachelor’s degree in Computer Science, AI, Data Science, Software Engineering, Computer Engineering , or a related discipline is required.
A strong portfolio of GenAI applications, GitHub projects, or deployed AI solutions will be a major advantage.
Abu Dhabi Onsite RequirementThis is a strictly 100% onsite position at the client’s Abu Dhabi office.
Applicants must:Already be based in Abu Dhabi , ORBe willing to independently relocate to Abu Dhabi from another UAE note: This position does not include relocation allowance, relocation package, or family relocation assistance.
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