Devops Engineer to work with AI – Intelligence Experts
DEVOPS ENGINEER FOR AI PLATFORM
Intelligence Experts LLC | Doha, Qatar | Full-time | Remote
POSITION OVERVIEW
We are seeking a DevOps Engineer to build and run the cloud platform behind our agentic AI systems for the
pharmaceutical industry. You will work alongside our AI engineers as the infrastructure and reliability counterpart:
owning Kubernetes on AWS EKS, CI/CD, configuration, and observability, so that multi-agent AI services can be
developed, deployed, and operated safely at production scale. This role suits a strong DevOps engineer with a
genuine interest in AI who wants to grow into AI platform engineering.
KEY RESPONSIBILITIES
• Design, provision, and operate AWS EKS clusters and supporting AWS infrastructure (VPC, IAM, ECR, load
balancing, storage, secrets) using Infrastructure as Code.
• Build and maintain GitHub Actions CI/CD pipelines for Python AI services, agent components, and container
images, including testing, security scanning, and promotion across environments.
• Manage Kubernetes deployments and configuration using Helm, Kustomize, or GitOps tooling, with safe rollout
strategies (rolling, blue/green, canary) and fast rollback.
• Own the observability stack with Prometheus, Grafana, and Loki: metrics, dashboards, log aggregation,
alerting, and SLOs for platform and AI workloads.
• Partner with AI engineers to deploy and scale LLM-based and multi-agent services, vector databases,
model/API gateways, and data pipelines, including LLM tracing, token/cost monitoring, and GPU capacity where
needed.
• Enforce security, access control, audit logging, and change management suitable for a regulated
pharmaceutical environment.
ABOUT US
Intelligence Experts LLC | CR: 241939
Building No. 54, Zone 17, Street No. 830, 5th Floor, Office No. 04 | P.O. Box 32367 | Doha, Qatar
Job Details
| Posted Date: | 2026-10-07 |
| Job Location: | Qatar – Doha |
| Job Role: | Information Technology |
| Company Industry: | Software Development |
| Monthly Salary: | US $4,000 |
Preferred Candidate
| Career Level: | Mid Career |
