Expert Engineer – Remote AI Deployment

About the role

We are looking for an Expert Engineer to lead the deployment and maintenance of AI‑driven solutions for enterprise customers. Working remotely, you will integrate, optimise and troubleshoot AI models and cloud infrastructure, ensuring high‑performance and reliable operations across diverse industries.

Key responsibilities

• Deploy AI models and cloud‑based inference systems into customer environments with minimal latency and maximum uptime.
• Conduct technical onboarding sessions and provide live debugging support during integration.
• Monitor system performance via SLA dashboards and recommend infrastructure adjustments to meet service‑level targets.
• Write and maintain deployment documentation, runbooks and troubleshooting guides for internal and customer teams.
• Collaborate with product and engineering teams to relay field feedback and influence roadmap priorities.

Required profile

• Bachelor’s degree in computer science, engineering or a related quantitative field.
• At least 3 years of hands‑on experience deploying AI systems in production.
• Strong ability to communicate technical concepts to non‑technical stakeholders.
• Proven debugging skills across distributed systems, including logs, metrics and network diagnostics.

Required skills

• Python programming.
• Infrastructure‑as‑code tools such as Terraform or Ansible.
• Cloud platforms: AWS, GCP or Azure.
• Container orchestration with Kubernetes.
• Experience with distributed system monitoring and troubleshooting.

What we offer

• Competitive compensation based on experience.
• Fully remote work with flexibility to operate from anywhere.
• Opportunity to influence AI adoption at scale for global organisations.
• Exposure to cutting‑edge AI deployments across multiple sectors.