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 to ensure high‑availability and performance.

Key responsibilities

• Deploy AI models and cloud‑based inference systems into customer environments with minimal latency and maximal 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.
• 3+ years of hands‑on experience deploying AI systems in production.
• Strong ability to explain technical concepts to non‑technical stakeholders.

Required skills

• Python programming.
• Infrastructure‑as‑code tools such as Terraform or Ansible.
• Cloud platforms (AWS, GCP or Azure).
• Container orchestration with Kubernetes.
• Debugging distributed systems using logs, metrics and network diagnostics.

What we offer

• Competitive compensation based on experience.
• Full remote work flexibility.
• Opportunity to influence AI adoption across multiple industries.
• Exposure to cutting‑edge AI deployments and best‑practice development.