Senior Full-Stack and AI Engineer (Azure, Databricks) Lead Trainer

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Full-Stack and AI Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. 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. Job 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. • Must be based in the UAE and available for 3 consecutive on-site training days in Abu Dhabi, plus approximately 5 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. • 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. • Must be based in the UAE and available for 3 consecutive on-site training days in Abu Dhabi, plus approximately 5 days of remote preparation. • Must have no current or previous engagement with the end client. • 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.