Senior AI Operations Engineer - LLM Infra & Production

Mint AI; Doha; On-site; QAR 180,000 - 280,000; Full time

Job summary

Mint AI seeks a founding engineer to build the operational backbone for Arabic-native AI deployments. You’ll create reliable, observable systems that run from pilots to production, shaping standards for the growing team.

Ideal candidates bring 3+ years in software engineering, with hands-on LLM/ML production experience, Python/Go, Kubernetes, and IaC. Fluency in Arabic and strong English are required.

Qualifications

• 3+ years of software engineering experience.
• Hands-on experience deploying and operating LLM/ML systems in production.
• Strong Python and/or Go, containers, Kubernetes and infrastructure as code.
• Familiarity with GPU workloads and model serving frameworks.

Responsibilities

• Design and run the infrastructure for deploying, monitoring and scaling LLM-powered applications.
• Build pipelines for model serving, evaluation, versioning and rollback.
• Implement observability for AI systems: latency, cost, quality drift and Arabic output accuracy.
• Support deployment in both cloud and on-premise environments that meet Qatar's data residency and security requirements.
• Automate CI/CD, testing and incident response for AI workloads.
• Work with Applied AI and ML engineers to take prototypes into production.
• Set operational best practice and document it as the team grows.

Skills

Software engineering

Arabic fluency

English proficiency

SRE / MLOps experience

Tools

Python

Go

Kubernetes

Containers

Terraform / IaC

GPU workloads

ML model serving frameworks (vLLM/TGI/Triton)

Job description

Mint AI seeks a founding engineer to build the operational backbone for Arabic-native AI deployments. You’ll create reliable, observable systems that run from pilots to production, shaping standards for the growing team.

Ideal candidates bring 3+ years in software engineering, with hands-on LLM/ML production experience, Python/Go, Kubernetes, and IaC. Fluency in Arabic and strong English are required.