Expert Engineer (Remote)

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, optimize, and troubleshoot AI models and cloud infrastructure, ensuring operational reliability and performance. The role supports scalable AI adoption across industries transitioning to intelligent automation.

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.
• Strong debugging skills across distributed systems, including logs, metrics, and network diagnostics.
• 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, Google Cloud Platform, or Azure).
• Container orchestration with Kubernetes.

What we offer

• Competitive compensation based on experience.
• Fully remote work from anywhere.
• Opportunity to influence AI adoption at global enterprises.
• Exposure to cutting‑edge AI deployments across multiple sectors.