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

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.

- 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 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.