Senior AI Engineer — Enterprise LLM & AI Infra Innovator

Devoteam; Riyadh; On-site; SAR 240,000 - 540,000; Full time

Job summary

Devoteam in Riyadh seeks an experienced AI Engineer to design and deploy enterprise AI solutions. You will build LLM applications using RAG, tool calling, structured generation, and agentic workflows, while optimizing inference, model serving, and GPU utilization.

You will develop evaluation frameworks for accuracy, relevance, safety and cost, work with open‑source and commercial models, and create reusable components for knowledge retrieval and model orchestration, collaborating with GCC

Qualifications

• Deploy AI/ML workloads to cloud, on-premise, and hybrid environments.
• Experience with Docker, Kubernetes, GPU infra and cloud AI services.
• Implement model versioning, experiment tracking, monitoring, logging, and automated deployment pipelines.
• Optimize AI workloads for scalability, reliability, latency, and cost.
• Troubleshoot production AI systems and continuously improve system performance.

Responsibilities

• Build enterprise-grade LLM applications using RAG, tool calling, structured generation, prompt engineering, and agentic workflows.
• Implement and optimize LLM inference, including model serving, quantization, caching, batching, and GPU utilization where relevant.
• Develop LLM evaluation frameworks covering accuracy, relevance, hallucination, safety, latency, and cost.
• Work with open-source and commercial foundation models and assess their suitability for specific use cases.
• Build reusable components for enterprise AI applications, including knowledge retrieval, model gateways, evaluation pipelines, and agent orchestration.

Skills

AI deployment

Docker/Kubernetes

MLOps pipelines

Performance optimization

Troubleshooting

Education

Bachelors in CS/Engineering

Tools

Docker

Kubernetes

GPU infrastructure

Job description

Devoteam in Riyadh seeks an experienced AI Engineer to design and deploy enterprise AI solutions. You will build LLM applications using RAG, tool calling, structured generation, and agentic workflows, while optimizing inference, model serving, and GPU utilization.

You will develop evaluation frameworks for accuracy, relevance, safety and cost, work with open‑source and commercial models, and create reusable components for knowledge retrieval and model orchestration, collaborating with GCC