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

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 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.