AI Engineer - Azure

Location: Dubai, UAE

Notice: 30 days max

Experience: 5+ years

Payroll: Dautom Information Technology

We are looking for a highly capable Full Stack Data Scientist / Azure AI Engineer who can build end-to-end AI products: data + ML/DL/CV models + Agentic workflows + APIs + UI + scalable deployment on Kubernetes (AKS). The role requires deep expertise in the Azure AI ecosystem (Azure Machine Learning, Azure AI Foundry, Azure AI Search) and strong hands on experience building AI agents using Lang Chain, Lang Graph, and/or Microsoft Agent Framework, with Langfuse for tracing, evaluation, and observability.

The ideal candidate has shipped production systems with measurable business impact and can operate them reliably through strong MLOps/LLMOps practices.

Demonstrated end-to-end delivery of AI applications in production (build, deploy, operate), with measurable impact.

• Build intelligent agent workflows using Lang Chain, Lang Graph, and Microsoft Agent Framework
• Design multi-step, tool-using, autonomous AI systems with memory, routing, and collaboration logic
• Implement safety, governance, and prompt-injection protection mechanisms
• Azure AI Foundry (prompt orchestration, GenAI workflows)
• Azure AI Search (RAG pipelines, vector & hybrid search, semantic ranking)
• Implement Langfuse for tracing, evaluation, monitoring, and cost tracking
• Build evaluation frameworks for RAG and agent systems
• Ensure continuous improvement and production reliability
• Develop models for classification, detection, segmentation, OCR, and anomaly detection
• Optimize performance, accuracy, and scalability in production environments
• Python (FastAPI), Node.js APIs
• Secure, scalable, production-ready architecture

• Agents/Frameworks: Strong hands‑on experience with Lang Chain, Lang Graph, and Microsoft Agent Framework.
• LLMOps: Strong experience with Langfuse for tracing/evaluation/monitoring (or equivalent tooling, with Langfuse preferred).
• Programming: Strong Python; API development with FastAPI;
  Node.js for services/integrations.
• ML/DL/CV: Proven hands‑on depth in ML/DL and Computer Vision.
• Data: Strong SQL; experience with structured + unstructured data.

• Exposure to graph databases (e.g., Neo4j) and vector search/vector databases for AI applications.
• Extra certifications (nice‑to‑have):
  Azure Fundamentals (AZ-900), Azure Developer (AZ-204), Kubernetes (CKA/CKAD), Databricks ML.

Interested candidates can share their CVs at  or connect with Shaloo Rani on Linked In.