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AI Engineer
UMATR
Dubai, UAE
Full-time
Mid-Senior
Onsite
AED 30,000 - 35,000/month
Discovered 1 weeks ago
PythonBackend developmentProduction AI systemsLLM-powered applicationsREST APIsRAG
Key Skills for This Role
PythonBackend developmentProduction AI systemsLLM-powered applicationsREST APIsRAG
Full Job Posting
Workplace and compensation
- The role is on-site in Dubai.
- The advertised salary is AED 30,000ā35,000 per month.
About the opportunity
The organization operates AI systems in production and is investing in autonomous agents, advanced retrieval systems, and self-hosted LLMs.
The engineer will join a small team and have opportunities to influence technical decisions and build AI solutions across the business.
Responsibilities
- Build and maintain production AI systems, Python backend services, and intelligent applications.
- Develop AI agents and automated workflows with LLM integrations, tool calling, routing, and orchestration.
- Design and improve RAG and GraphRAG systems using knowledge graphs, vector databases, and semantic search.
- Build evaluation frameworks for retrieval quality, agent performance, and reliability.
- Benchmark open-source LLMs and contribute to self-hosted model infrastructure.
- Improve reliability with monitoring, observability, automated testing, and production support.
- Work with engineering and business teams to translate operational challenges into AI solutions.
- Own development from design through deployment and ongoing improvement.
Qualifications
- At least 4 years of experience developing AI applications or in AI/software engineering roles involving production AI systems.
- Strong hands-on Python and backend development experience.
- Hands-on experience building LLM-powered applications, with exposure to RAG, agents, or tool calling.
- Understanding of REST APIs and integrating AI capabilities into existing applications.
- Familiarity with vector databases, semantic search, or retrieval-based systems.
- Comfortable collaborating with engineers, reviewing code, and contributing to production applications.
- Proactive problem-solving approach and interest in learning new AI technologies.
Preferred skills
- Beneficial experience includes GraphRAG, knowledge graphs, ontologies, LLM evaluation, retrieval metrics, and regression testing.
- Experience with PyTorch, Hugging Face, Ollama, vLLM, Qdrant, Milvus, Docker, Kubernetes, or model-serving infrastructure is beneficial; not all are required.
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