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AI Technical Support Engineer

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Onsite

AI Technical Support Engineer

Lean Solutions Group

AI Technical Support Engineer

Skills

Google Cloud PlatformSQL QueriesDockerPythonData ScienceData AnalysisMachine LearningAIAWSLinuxKubernetesNo-code AutomationsSalesforceSalesforce Service CloudBusiness TransformationAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Makati City, Metro Manila, Philippines

Work mode:

Onsite

Published on:

25 August 2026

What they need


Join Our Team at Lean Solutions Group (LSG)!

Lean Solutions Group (LSG) is a next-generation solutions provider combining AI-driven automation, industry expertise, and tech-powered talent. Built in the demanding Supply Chain sector, our model now supports 600+ clients across multiple industries, powered by 10,000+ employees in five countries. We help businesses achieve immediate efficiency, long-term resilience, and scalable growth by integrating intelligent technology, optimized processes, and high-performance teams.

At LSG, we believe in your talent and your potential. Join a multicultural, people-first environment where you can grow, sharpen your skills, and unlock new career opportunities. Here, every day brings fresh challenges, collaboration, and purpose.

Our Mission: Transform business challenges into lasting success through purpose-built teams, technology, and expertise.

Our Vision: A world where people, empowered by technology, turn any challenge into a catalyst for growth.

Role Overview

We are seeking an client-facing AI Support Specialist to resolve high-tier technical challenges across our AI platform. In this position, you will serve as the core link between enterprise clients and internal product engineering—investigating issues, executing code-level fixes, and guiding users toward quick resolutions through tickets and live calls.

Key Responsibilities

  • Client Issue Resolution: Diagnose and resolve complex technical inquiries submitted via Salesforce ServiceCloud, email, and live video sessions during UTC coverage hours.
  • Incident Management: Participate in the weekend Sev-1 on-call schedule and manage client communications during critical SaaS service disruptions.
  • Engineering Escalations: Work side-by-side with data scientists, product managers, and developers to isolate edge cases and implement lasting bug fixes.
  • Solutions & Documentation: Develop technical workarounds for unique edge cases and author knowledge-base guides to streamline future troubleshooting.
  • Support Automation: Contribute to internal tooling and automation scripts aimed at optimizing support workflows and response speeds.

Requirements

  • Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or relevant technical experience.
  • Enterprise Support: 2+ years assisting enterprise clients on complex software platforms, including practical experience with ticketing systems (Salesforce ServiceCloud preferred).
  • Systems & OS: Proven track record in Linux administration, log analysis, and enterprise network diagnostics.
  • Programming: Practical ability to analyze code bases and write Python scripts for workflow automation and issue replication.
  • AI/ML Concepts: Functional knowledge of the end-to-end Machine Learning lifecycle and modern AI frameworks.
  • Communication: Stellar written and spoken English communication skills for client-facing and internal coordination.

Preferred Qualifications

  • Background supporting enterprise AI, Data Analytics, or ML platforms.
  • Familiarity with containerized applications (Docker, Kubernetes).
  • Exposure to cloud infrastructure (AWS, Azure, GCP) and database management (SQL/NoSQL).
  • Previous experience managing critical incidents for SaaS applications.

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