AI Automation Engineer

Client of AIQU; Abu Dhabi; On-site; AED 420,000 - 600,000; Full time

Job summary

Client of AIQU is seeking an experienced AI Automation Engineer in Abu Dhabi to design, develop and deploy AI-driven automation solutions across business processes. You will implement LLMs, build scalable Python-based pipelines, and manage API integrations with enterprise systems to drive innovation.

The role requires 8–10 years in AI automation, strong Python skills, and hands-on experience with MLOps and cloud platforms.

Qualifications

• 8–10 years of professional experience in AI automation or related fields.
• Proven expertise in designing and implementing AI automation solutions.
• Strong knowledge of large language models (LLMs) and production integration.
• Advanced Python programming for AI/ML development.
• Experience with RESTful APIs and MLOps best practices.

Responsibilities

• Collaborate with cross-functional teams to identify automation opportunities and define project requirements.
• Design and develop end-to-end AI automation pipelines including data ingestion, model training, deployment and monitoring.
• Implement and integrate LLMs to automate NLP processes and workflows.
• Develop and manage RESTful APIs for AI services integration with enterprise systems.
• Mentor junior engineers and ensure code quality through reviews and testing.

Skills

Python

AI automation

LLMs

REST APIs

MLOps

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

AWS/Azure/GCP

Job description

We are seeking an experienced AI Automation Engineer to join our fast-growing technology team in Abu Dhabi In this role you will design develop and deploy AI-driven automation solutions that optimize business processes enhance decision-making and drive innovation across the organization

Responsibilities

• Collaborate with cross-functional teams to identify automation opportunities and define project requirementsDesign and develop end-to-end AI automation pipelines including data ingestion model training deployment and monitoringImplement and integrate large language models LLMs to automate natural language processes and workflowsWrite clean scalable and maintainable Python code to support AI ML solutionsDevelop and manage RESTful APIs for seamless integration of AI services with enterprise systemsOptimize model performance and maintain version control using best practices in MLOpsConduct code reviews troubleshoot system issues and ensure high quality through testing and validationProvide technical mentorship and guidance to junior engineersDocument architecture designs and operational procedures for deployed solutions

Required Qualifications

• 8-10 years of professional experience in AI automation or related fieldsProven expertise in designing and implementing AI automation solutionsStrong knowledge of large language models LLMs and experience integrating them into production systemsAdvanced proficiency in Python programming for AI ML developmentHands-on experience developing and consuming RESTful APIsSolid understanding of machine learning lifecycle MLOps and model deployment best practicesBachelor s or Master s degree in Computer Science Engineering or a related technical disciplineExcellent problem-solving skills and ability to work in a fast-paced environment

Preferred Qualifications

• Experience with cloud platforms such as AWS Azure or Google Cloud for AI ML workloadsFamiliarity with containerization and orchestration tools like Docker and KubernetesKnowledge of NLP techniques beyond LLM integration such as entity recognition and sentiment analysisExperience with CI CD pipelines and infrastructure-as-code toolsPrior experience in the finance healthcare or government sectorsProfessional certifications in AI machine learning or cloud technologiesStrong communication and stakeholder management skills

Position DetailsPosition Title AI AutomationLocation AbuDhabi United Arab EmiratesIndustry Information Technology IT SoftwareExperience Required 8 years Required Qualifications:8-10 years of professional experience in AI automation or related fieldsProven expertise in designing and implementing AI automation solutionsStrong knowledge of large language models (LLMs) and experience integrating them into production systemsAdvanced proficiency in Python programming for AI/ML developmentHands-on experience developing and consuming RESTful APIsSolid understanding of machine learning lifecycle, MLOps, and model deployment best practicesBachelor s or Master s degree in Computer Science, Engineering, or a related technical disciplineExcellent problem-solving skills and ability to work in a fast-paced environmentPreferred Qualifications:Experience with cloud platforms such as AWS, Azure, or Google Cloud for AI/ML workloadsFamiliarity with containerization and orchestration tools like Docker and KubernetesKnowledge of NLP techniques beyond LLM integration, such as entity recognition and sentiment analysisExperience with CI/CD pipelines and infrastructure-as-code toolsPrior experience in the finance, healthcare, or government sectorsProfessional certifications in AI, machine learning, or cloud technologiesStrong communication and stakeholder management skills