Senior Full-Stack and AI Engineer (Azure, Databricks) — Lead Trainer for a 3-day hands-on programme
At a glance
Senior AI Engineering role at TechBiz Global GmbH. Abu Dhabi · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Set up Azure Databricks workspaces, coding tools, repositories, and participant access for the training labs
- Build exercises, starter code, and teaching materials for a three-day practical programme
- Lead workshops on AI-assisted development, data engineering, platform security, and automated deployment
- Walk participants through Databricks labs and adding AI features to Python and TypeScript or JavaScript applications
- Live-code, resolve lab problems, guide capstone teams, and provide materials plus a delivery report
What you bring
- At least five years in software engineering, including full-stack work with Python and TypeScript or JavaScript
- Production experience using Azure Databricks, including workspace setup, Delta Lake, jobs, and data pipelines
- Hands-on experience building production AI applications with LLM APIs and integrating models into full-stack products
- Practical expertise in AI security, Spark-based data engineering, CI/CD, Azure services, and deployment automation
- You have led technical training and can independently prepare labs, present, live-code, and troubleshoot
Who this fits
This senior role suits an engineer who can both build production systems and teach through practical labs. You must be based in the UAE, attend three consecutive on-site training days in Abu Dhabi, and spend about three days preparing remotely. You must have no current or past engagement with the end client.
From the employer
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.