We are looking for a highly capable Full Stack Data Scientist / Azure AI Engineer who can build end-to-end AI products including data, ML/DL/CV models, agentic workflows, APIs, UI, and 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 LangChain, LangGraph, and/or Microsoft Agent Framework, with Langfuse for tracing, evaluation, and observability.
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The ideal candidate should have a proven track record of delivering AI applications in production with measurable business impact and should be familiar with MLOps/LLMOps practices.
Core Responsibilities:
- Build intelligent agent workflows using LangChain, LangGraph, 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.
Technical Skills Required:
- AI Ecosystem: Azure Machine Learning, Azure AI Foundry, Azure AI Search.
- MLOps / LLMOps: Experience with Langfuse for tracing/evaluation/monitoring.
- Programming: Strong expertise in Python (FastAPI) and Node.js for API development.
- Frontend Development: Experience with React for UI.
- Model Development: Hands-on experience in ML/DL/CV for various applications.
- Deployment: Familiarity with Docker and Kubernetes (AKS).
- Data Handling: Strong SQL skills and experience with structured and unstructured data.
Preferred Qualifications:
- Experience in real estate or construction domain AI use cases (valuation, forecasting, risk, customer support automation).
- Exposure to graph databases (e.g., Neo4j) and vector databases for AI applications.
- Extra certifications (such as Azure Fundamentals, Azure Developer, Kubernetes, Databricks ML) are a plus.
Language Requirements:
- Proficiency in English is assumed based on the job listing context.
Application Process:
Interested candidates can share their CVs at shaloo.rani@the_company.com.
Additional Details:
- Location: Dubai, United Arab Emirates
- Work Conditions: On-site, Full-time
- Notice Period: 30 days maximum
- Experience Required: 5+ years
- Duration: 6+ months (extendable)
- Payroll: The company.
