AI Support Engineer - Client-Facing & Incident Ready

Private Advertiser

Philippines

On-site

PHP 700,000 - 1,100,000

Full time

4 days ago
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Job summary

Private Advertiser is seeking a client-facing AI Support Specialist to resolve high-tier technical challenges across our AI platform. You will bridge enterprise clients and product engineering, investigating issues, applying code-level fixes, and guiding users toward quick resolutions via tickets and live calls.

This role requires Linux administration, Python scripting, and a strong grasp of the AI/ML lifecycle, with excellent English communication for client-facing work.

Qualifications

  • Bachelor's degree in CS/DS/Engineering or related field.
  • 2+ years supporting enterprise clients on complex software platforms.
  • Proven Linux administration, log analysis, and network diagnostics.
  • Ability to analyze code bases and write Python scripts for automation.
  • Solid understanding of the AI/ML lifecycle and modern frameworks.
  • Excellent written and spoken English for client-facing work.

Responsibilities

  • Client Issue Resolution: diagnose and resolve complex inquiries via Salesforce, email, and live sessions.
  • Incident Management: participate in on-call schedules and communicate during SaaS disruptions.
  • Engineering Escalations: collaborate with data scientists, PMs, and developers to fix edge cases.
  • Solutions & Documentation: create workarounds and knowledge-base guides.
  • Support Automation: help build internal tooling to optimize workflows.

Skills

Python scripting
Client communication
Linux administration
Log analysis
Issue replication
SaaS support

Education

Bachelor's degree in Computer Science, Data Science, Engineering

Tools

Salesforce Service Cloud
Docker
Kubernetes
AWS
Azure
GCP
SQL/NoSQL

Job description

Private Advertiser is seeking a client-facing AI Support Specialist to resolve high-tier technical challenges across our AI platform. You will bridge enterprise clients and product engineering, investigating issues, applying code-level fixes, and guiding users toward quick resolutions via tickets and live calls.

This role requires Linux administration, Python scripting, and a strong grasp of the AI/ML lifecycle, with excellent English communication for client-facing work.

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