AI Engineer – GenAI & Agentic AI | Enterprise AI Solutions | UAE
Listed on 2026-10-03
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software
Dubai, United Arab Emirates
Job Category- Information Technology (IT) & Software
- Science & Research
- Engineering & Technical
- Others / Miscellaneous
An AI Engineer opportunity is available in Dubai for a hands-on professional experienced in building and deploying enterprise Generative AI (GenAI) and Agentic AI solutions. The role focuses on developing production-ready AI systems using large language models, retrieval-augmented generation, multi-agent architectures, AI workflows, and enterprise integrations.
The successful candidate will work across AI engineering, data platforms, application development, and MLOps/LLMOps. Strong expertise in Python, SQL, Spark, AI frameworks, vector and graph databases, and cloud AI technologies is required. The position offers opportunities for professional development, advanced AI training and certification, and long-term career growth in enterprise AI engineering.
Key Responsibilities- Design, develop, and deploy enterprise GenAI and Agentic AI solutions.
- Build applications using LLMs, RAG, embeddings, and prompt/context engineering.
- Develop and optimize multi-agent architectures and tool-calling workflows.
- Build AI workflows using platforms such as Lang Chain, Lang Graph, Haystack, n8n, and Microsoft Copilot.
- Develop solutions using Azure AI Search, Neo4j, Databricks Vector Search, and other vector or graph databases.
- Develop APIs and enterprise integrations using FastAPI or Flask.
- Work with Python, SQL, Spark, React, and JavaScript/Type Script.
- Apply PyTorch or Tensor Flow for AI and machine learning solutions.
- Implement AI evaluation, data validation, KPI validation, and business-rule validation.
- Develop and support production AI systems.
- Implement MLOps/LLMOps practices and AI monitoring.
- Collaborate with distributed and offshore technical teams.
- Continuously improve the reliability, scalability, and performance of AI solutions.
- Strong hands-on experience in Generative AI and Agentic AI engineering.
- Expertise in LLMs, RAG, embeddings, prompt/context engineering, and AI evaluation.
- Experience with Lang Chain, Lang Graph, Haystack, n8n, and Microsoft Copilot.
- Experience building multi-agent architectures, tool calling, and AI workflows.
- Strong knowledge of Azure AI Search, Neo4j, Databricks Vector Search, and vector/graph databases.
- Strong proficiency in Python and SQL.
- Experience with Spark, React, JavaScript, and Type Script.
- Experience with FastAPI or Flask.
- Knowledge of PyTorch or Tensor Flow.
- Experience developing APIs and enterprise integrations.
- Strong understanding of data quality, validation, KPIs, and business rules.
- Experience with production AI systems, MLOps/LLMOps, and AI monitoring.
- Ability to collaborate effectively with distributed and offshore teams.
- Strong communication and problem-solving skills.
Salary and compensation details were not provided by the employer and therefore are not listed.
The role offers opportunities for:
- Advanced professional development in GenAI and Agentic AI.
- Training and upskilling in emerging AI technologies.
- Exposure to enterprise AI architecture and production systems.
- MLOps and LLMOps experience.
- AI engineering and cloud technology certification opportunities.
- Career progression in enterprise AI, machine learning, and AI engineering.
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