Artificial Intelligence Engineer

2 weeks ago


Dubai, Dubai, United Arab Emirates Aleddo Technologies Full time

Job Title:
AI Engineer – Azure DevOps

Location: Dubai, UAE

Employment Type: Full-time / Contract

Role Overview

We are seeking a skilled AI Engineer with strong experience in Azure DevOps to design, build, and deploy scalable AI solutions. The ideal candidate will have hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and modern AI orchestration frameworks such as LangChain and LangGraph, along with experience deploying AI workloads on Kubernetes.

Key Responsibilities

  • Design, develop, and deploy end-to-end GenAI applications
  • Build RAG pipelines including data ingestion, embedding, retrieval, and response generation
  • Integrate and optimize LLMs (Azure OpenAI, OpenAI, and open-source models)
  • Implement AI workflows using LangChain, LangGraph, or similar frameworks
  • Develop and manage CI/CD pipelines using Azure DevOps
  • Containerize and deploy AI applications using Docker and Kubernetes (AKS)
  • Implement LLMOps / MLOps best practices for versioning, monitoring, and scaling
  • Expose AI services via REST APIs and microservices
  • Ensure security, performance, cost optimization, and scalability of AI solutions
  • Collaborate with product, data, and engineering teams to translate business requirements into AI systems

Required Skills & Experience

  • Proven experience in AI / Machine Learning / Generative AI engineering
  • Strong hands-on expertise with LLMs and RAG-based systems
  • Proficiency in Python
  • Experience with Azure DevOps (Repos, Pipelines, CI/CD automation)
  • Hands-on experience with Kubernetes (AKS preferred)
  • Practical experience using LangChain and LangGraph
  • Experience with vector databases (Azure AI Search, Pinecone, FAISS, Weaviate, etc.)
  • Strong understanding of prompt engineering, embeddings, chunking strategies, and retrieval techniques
  • Experience with Docker, microservices, and cloud-native architectures
  • Experience with Azure OpenAI Service

Good to Have

  • Exposure to model fine-tuning, LoRA, or custom LLM deployment
  • Knowledge of LLMOps tooling and observability
  • Familiarity with cloud security and identity management
  • Azure certifications (AZ-204, AZ-400, DP-100)


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