Senior AI Engineer: Generative & Agentic AI Platforms

Dicetek LLC; Abu Dhabi; On-site; AED 320,000 - 520,000; Full time

Job summary

Dicetek LLC is seeking an experienced AI Engineer to design, develop and deploy Generative AI and Agentic AI solutions for enterprise-scale use cases. You will build intelligent systems that integrate backend services and client applications across web, mobile, and enterprise platforms.

You will lead the implementation of autonomous agents, multi-agent workflows, and governance in cloud-native environments, collaborating with architecture, engineering, product, and business teams to deliver

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence or a related discipline.
• Relevant cloud, AI engineering, machine learning or architecture certifications are preferred.

Responsibilities

• Design and deploy Generative AI and Agentic AI solutions for enterprise-scale use cases across web, mobile and enterprise platforms.
• Build intelligent systems integrating complex backend services and client-facing applications and coordinate with cross-functional teams.
• Deliver secure, scalable, observable and governed AI solutions in cloud-native environments.

Skills

Python

NumPy/Pandas

FastAPI

PyTorch/TensorFlow

LangChain

LangGraph

Semantic Kernel

AutoGen

Kubernetes

CI/CD (Jenkins/GitLab)

REST APIs

Model Deployment

Education

Bachelor's degree in Computer Science, Software Engineering, IT, Data Science, AI or related discipline

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

Kubernetes

Jenkins

GitLab

REST APIs

Job description

Dicetek LLC is seeking an experienced AI Engineer to design, develop and deploy Generative AI and Agentic AI solutions for enterprise-scale use cases. You will build intelligent systems that integrate backend services and client applications across web, mobile, and enterprise platforms.

You will lead the implementation of autonomous agents, multi-agent workflows, and governance in cloud-native environments, collaborating with architecture, engineering, product, and business teams to deliver