AI Engineer - Junior - Datamatics Technologies

AI Engineer - Junior

Role Summary

AI only earns trust in government when it is accurate, explainable and secure. The AI Software Engineer designs, builds and deploys production-grade AI and GenAI solutions on governed, high-quality data. They turn use cases into reliable applications that are measurable, auditable and compliant with UAE AI and data regulation.

The role is alongside business analysts, data architects, data engineers and the Data Governance Council. Its job is to take AI from prototype to production, using the Microsoft Azure AI ecosystem on top of the Purview-governed data foundation.

Key Responsibilities

• Design, develop and deploy AI/ML and GenAI applications, including RAG assistants, document intelligence, classification, prediction and Arabic/English NLP use cases.
• Build retrieval-augmented generation solutions using Azure OpenAI / Azure AI Foundry, Azure AI Search, vector indexing, prompt orchestration and grounding on curated Gold-layer data.
• Embed explainability, bias testing, content safety, hallucination controls and human-in-the-loop review, aligned to the UAE Charter for the Development and Use of AI and Dubai's AI ethics principles.
• Expose AI capabilities through secure APIs and integrate them with enterprise applications, portals and analytics, with role-based access and data masking enforced.
• Work with data engineers to prepare AI-ready datasets and feature pipelines, and ensure training and grounding data meets DQ and classification controls.
• Define accuracy, relevance, latency and cost KPIs, and run structured evaluations before each release.
• Apply UAE PDPL, Dubai Data Law and DESC ISR requirements to AI workloads, including data residency, PII handling and prompt/response logging.
• Produce model cards, solution designs, runbooks and audit evidence for each AI component.
• Coach Client's counterparts in AI engineering practices, tooling and responsible-AI operations so that solutions can be sustained after handover.

Must Have

• AI Certifications.
• 5+ years in software engineering, with at least 2 years building and deploying AI/ML or GenAI solutions in production.
• Strong Python skills, with experience in one or more frameworks such as LangChain, Semantic Kernel, PyTorch, scikit-learn or Hugging Face.
• Hands-on experience with the Azure AI ecosystem (Azure OpenAI / Azure AI Foundry, Azure AI Search, Azure Machine Learning, vector databases), with depth in at least one or two areas.
• Experience with API development (REST/FastAPI) and CI/CD pipelines; working knowledge of Docker.
• Understanding of MLOps/LLMOps, model evaluation, prompt engineering and responsible-AI practices.

Good to Have

• Kubernetes exposure.
• Familiarity with lakehouse architecture, Microsoft Fabric and governed data consumption through Purview.
• Awareness of UAE AI and data regulation, including the UAE AI Charter, UAE PDPL, the Dubai Data Law and DESC ISR.
• Arabic proficiency is advantage.