Expert Engineer – Remote AI Deployment

About the role

This contractual position focuses on deploying and maintaining AI‑driven solutions for enterprise clients. You will work directly with customers to integrate, optimise, and troubleshoot AI models and cloud infrastructure, ensuring reliable performance at scale.

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 using SLA dashboards and recommend infrastructure adjustments.
• Write and maintain deployment documentation, including runbooks and troubleshooting guides.
• 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 debugging skills across distributed systems and ability to communicate 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.
• Experience with logs, metrics and network diagnostics for distributed systems.

What we offer

• Competitive compensation based on experience.
• Fully remote work with flexibility to work from anywhere.
• Opportunity to influence AI adoption across multiple industries.