Senior Full-Stack and AI Engineer (Azure, Databricks) — Lead Trainer for a 3-day hands-on programme

Role Overview

Responsibilities

• Design, configure, and manage cloud-based lab environments, including Azure Databricks workspaces, AI coding tools, and development repositories.
• Develop hands-on technical exercises, starter repositories, and training materials for a 3-day programme.
• Prepare and validate access requirements, permissions, and technical setups before training delivery.
• Lead practical workshops covering AI-driven software development, agentic coding, CI/CD, and deployment automation.
• Deliver hands-on training in data engineering, including Spark, Delta Lake, ETL/ELT pipelines, lakehouse architecture, and data governance.
• Demonstrate AI platform security, including LLM guardrails, model access control, prompt injection prevention, and production monitoring.
• Conduct Azure Databricks labs covering workspace configuration, notebooks, Delta tables, pipelines, and model inference.
• Guide participants through integrating AI capabilities into full-stack applications using Python and TypeScript/JavaScript.
• Perform live coding, troubleshoot technical issues, and support participants with different experience levels.
• Facilitate team-based capstone projects involving AI-integrated application development.
• Collaborate with the AI instructor to coordinate technical sessions and practical exercises.
• Provide complete lab materials and a post-training delivery report.

Requirements

• 5+ years of professional software engineering experience, including full-stack development with Python and TypeScript/JavaScript.
• Strong hands-on experience integrating LLM APIs and developing production AI applications.
• Proven production experience with Azure Databricks, including workspace configuration, Delta Lake, jobs, and data pipelines.
• Experience with AI engineering architecture, model serving, inference APIs, retrieval systems, and model evaluation.
• Practical knowledge of AI platform security, LLM guardrails, prompt injection prevention, and sensitive data protection.
• Proficiency with agentic AI coding tools such as Cursor, Claude Code, or GitHub Copilot.
• Strong experience with CI/CD pipelines, Azure cloud services, and deployment automation.
• Hands-on data engineering experience with Apache Spark, lakehouse architectures, data governance, access control, and lineage.
• Experience integrating AI models into full-stack applications.
• Previous experience delivering technical workshops, bootcamps, or corporate training programmes.
• Excellent presentation, communication, live-coding, and technical troubleshooting skills.
• Ability to independently prepare and deliver complex hands-on technical labs.

Additional Requirements

• Must be based in the UAE and available for 3 consecutive on-site training days in Abu Dhabi, plus approximately 3 days of remote preparation.
• Must have no current or previous engagement with the end client.

Nice to Have

• Experience with NVIDIA AI Enterprise or GPU-accelerated AI workloads.
• Experience delivering technical training or solutions within public-sector or regulated environments.
• Knowledge of UAE data protection and compliance requirements.