Senior AI Engineer

Reqiva; Dubai; Hybrid; AED 335,000 - 446,000; Full time

Job summary

Reqiva in Dubai, UAE, is seeking a Senior AI Engineer to join a hybrid team in Dubai Internet City. The role focuses on building, deploying, and maintaining AI-enabled software in production, with 4 days onsite and a monthly salary of AED 30,000–40,000.

You will work across backend services, LLM integrations and distributed systems, owning features from development through deployment, observability and ongoing improvement in cloud/Kubernetes environments.

Qualifications

• Strong experience with Python and/or Golang in production AI/LLM apps.
• Experience deploying AI workloads in cloud/Kubernetes environments.
• Knowledge of observability, testing and production reliability.

Responsibilities

• Build and maintain AI-powered features, backend services and APIs.
• Develop production LLM integrations, RAG and agent/tool-use workflows.
• Work on context management, model routing and practical AI evaluation.
• Build reliable asynchronous and distributed systems.
• Improve performance, reliability, responsiveness and operating cost.
• Deploy and operate AI workloads within cloud and Kubernetes environments.
• Use modern AI coding agents and automation to improve engineering productivity.
• Take ownership of features from development through production.

Skills

Python

Golang

Production AI

LLM apps

RAG workflows

Backend APIs

Distributed systems

Kubernetes

AWS

AI deployment

Observability

Testing

Tools

Kafka

RabbitMQ

gRPC

Job description

Senior AI Engineer

Dubai, UAE | Internet City | Hybrid – 4 days onsite
AED 30,000–40,000 per month

We’re working with a technology business in Dubai that is building sophisticated AI-powered products and is looking for a strong Senior AI Engineer to join its growing engineering team.

This is a hands‑on engineering role for someone who has gone beyond experimenting with AI and has experience building, deploying and maintaining AI‑enabled software in production.

You’ll work across backend engineering, LLM integration and distributed systems, taking ownership of features from initial development through deployment, observability and ongoing improvement.

What you’ll be doing

• Build and maintain AI‑powered features, backend services and APIs

• Develop production LLM integrations, RAG and agent/tool‑use workflows

• Work on context management, model routing and practical AI evaluation

• Build reliable asynchronous and distributed systems

• Improve performance, reliability, responsiveness and operating cost

• Deploy and operate AI workloads within cloud and Kubernetes environments

• Use modern AI coding agents and automation to improve engineering productivity

• Take ownership of features from development through production

What we’re looking for

You’ll ideally have strong experience with:

• Python and/or Golang

• Production AI and LLM applications

• RAG, tool use and agentic workflows

• Backend APIs and distributed systems

• Kafka, RabbitMQ, gRPC or similar technologies

• Kubernetes and cloud infrastructure, ideally AWS

• AI/LLM deployment and inference technologies such as vLLM or Ray

• Observability, testing and production reliability

Experience with real‑time AI, conversational AI, voice technologies or high‑performance distributed applications would be particularly interesting.

This would suit a strong engineer who enjoys figuring things out, learning new technologies and taking genuine ownership rather than simply working through predefined tickets.