Real-Time Media AI Engineer

Reqiva; Dubai; Hybrid; AED 279,000 - 446,000; Full time

Job summary

Reqiva is seeking a Real-Time AI Media Engineer in Dubai to join a technology team building AI-powered products. The role sits at the intersection of AI, real-time audio/video, streaming and high-performance backend engineering.

You’ll work on latency-sensitive, user-facing AI products where responsiveness and reliability matter, tackling real-time media integration and AI inference across distributed systems.

Qualifications

• Proven experience in real-time media engineering.
• Strong Python development skills.
• Experience with AI inference in latency-sensitive apps.

Responsibilities

• Build and integrate real-time media and AI capabilities into production products.
• Work with real-time audio, video, speech and streaming technologies.
• Integrate AI inference into latency-sensitive applications.
• Improve audio/video synchronization, responsiveness and reliability.
• Build asynchronous pipelines capable of handling load, interruptions and failures.
• Profile AI inference, GPU and media-processing workloads.
• Optimize latency, throughput, memory usage and infrastructure cost.
• Build automated testing, tracing and diagnostics.
• Troubleshoot complex issues across backend, client and media-processing systems.

Skills

Python

Real-time media

Asynchronous systems

APIs

AI/ML inference

Performance profiling

Diagnostics

Streaming

Tools

WebRTC

GPU inference

Job description

Real-Time AI Media Engineer

Dubai, UAE | Internet City | Hybrid – 4 days onsite
AED 25,000–40,000 per month

We’re looking for a Real-Time AI Media Engineer to join a technology business building advanced AI-powered products in Dubai.

This is a hands-on engineering role sitting at the intersection of AI, real-time audio/video, streaming and high-performance backend engineering.

You’ll be working on latency-sensitive, user-facing AI products where responsiveness, synchronization and reliability really matter.

What you’ll be doing

• Build and integrate real-time media and AI capabilities into production products

• Work with real-time audio, video, speech and streaming technologies

• Integrate AI inference into latency-sensitive applications

• Improve audio/video synchronization, responsiveness and reliability

• Build asynchronous pipelines capable of handling load, interruptions and failures

• Profile AI inference, GPU and media-processing workloads

• Optimize latency, throughput, memory usage and infrastructure cost

• Build automated testing, tracing and diagnostics

• Troubleshoot complex issues across backend, client and media-processing systems

What we’re looking for

Strong experience with:

• Python

• Real-time audio/video, streaming or speech systems

• Asynchronous and concurrent systems

• APIs and service integration

• AI/ML inference

• Performance profiling and optimization

• Production testing, tracing and diagnostics

Experience with technologies or areas such as WebRTC, browser media APIs, GPU inference, speech systems, ML model serving or interactive avatar technologies would be particularly interesting.

You don’t need to tick every box. We’re interested in engineers who are technically curious, enjoy solving difficult performance problems and are comfortable working across different parts of a system to make the overall product work reliably.

This is a particularly interesting opportunity for someone who wants to work where real-time engineering meets production AI.