AI Engineer

Sundus; Abu Dhabi; On-site; AED 90,000 - 130,000; Full time

Job summary

Sundus is seeking an AI Engineer to develop, test, and deploy AI/ML and Generative AI solutions, including LLM-based applications, RAG pipelines, and Agentic workflows. The role supports on-premise deployment for secure enterprise delivery.

The candidate should have 2+ years in AI/ML, a Bachelor’s in CS/AI/Data Science, and strong Python skills to design robust, scalable AI systems deployed in enterprise environments.

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, or related field.
• 2+ years of AI/ML development experience.
• Strong programming skills in Python.

Responsibilities

• Develop, test, and deploy AI/ML and Generative AI solutions.
• Build LLM-based applications and RAG pipelines.
• Implement agentic workflows and on-prem LLM deployment.
• Ensure secure enterprise delivery of AI solutions.

Skills

Python

ML/DL concepts

NLP basics

Education

Bachelor's degree in Computer Science / AI / Data Science

Tools

Git/version control

REST APIs

Job description

Job Title

AI Engineer (ML, LLM, RAG & Agentic AI)

Job Code

JPC 6310

Experience

2+ years of experience in AI/ML development.

Education

Bachelor s degree in Computer Science, AI, Data Science, or related field.

Language Skills

English

Role Purpose

The AI Engineer is responsible for developing, testing, and deploying AI/ML and Generative AI solutions, including LLM-based applications, RAG pipelines, and Agentic workflows. This role also includes the ability to deploy and run LLMs on local/on-premise servers, supporting secure and efficient AI solution delivery in enterprise environments.

Required Skills & Qualifications

Bachelor s degree in Computer Science, AI, Data Science, or related field.

2+ years of experience in AI/ML development.

Strong programming skills in Python.

Hands-on Experience With

• Machine learning frameworks (Scikit-learn, PyTorch, or TensorFlow)
• Basic NLP concepts

Understanding of ML model lifecycle (training, evaluation, deployment).

Familiarity with REST APIs and integration concepts.

Experience with Git/version control.