MY - AI Specialist

Zeal Group; Kuala Lumpur; On-site; MYR 80,000 - 110,000; Full time

Benefits offered by this job

Life Insurances

Team Building

Job summary

A technology solutions provider is looking for a technical expert in AI and automation to manage and scale their infrastructure within the Client Experience Department. Responsibilities include leading operational system setups, deploying RAG pipelines, and developing Python scripts for workflow automation. The ideal candidate must have Python mastery, experience with LLM frameworks, and knowledge of SaaS integration. The role offers benefits like life insurance and team-building activities.

Qualifications

• Proficiency in Python for data processing and API development.
• Experience with LLM frameworks and vector databases.
• Proven ability to set up enterprise-level SaaS environments.

Responsibilities

• Lead the setup of new operational systems and integration.
• Architect and deploy RAG pipelines to enhance AI features.
• Develop production-grade Python scripts for automation.

Skills

Python Mastery

AI Orchestration

Analytical Rigor

Tools

LangChain

LlamaIndex

REST APIs

Job description

Role Overview

This is a technical, hands‑on role reporting to the AI Lead. You will be responsible for building, maintaining, and scaling the AI and automation infrastructure within the Client Experience Department. The role involves managing standard SaaS platforms, architecting custom LLM solutions (RAG pipelines), and ensuring all technical implementations are supported by data‑driven performance metrics and empirical proof.

Key Responsibilities

• System Architecture & Setup: Lead the end‑to‑end setup of new operational systems (e.g., new ticketing instances, telephony entities, or CRM environments). You will be responsible for the initial configuration, data mapping, and integration
• AI Development & RAG: Architect and deploy Retrieval‑Augmented Generation (RAG) pipelines and custom LLM agents to enhance or replace standard SaaS AI features
• Workflow Automation: Develop and maintain production‑grade Python scripts to automate data flows and operational tasks across the department
• Technical Stack Ownership: Act as the lead engineer for core CX tools (Ticketing, Telephony/VoIP, and CRM), ensuring seamless integration via APIs and webhooks
• Data Validation: Extract and analyze system logs to provide empirical proof of ROI, accuracy, and system reliability
• Technical Alignment: Coordinate with cross‑functional teams to translate business requirements into technical logic, data schemas, and API documentation

Requirements

• Python Mastery: Proficiency in Python for automation, data processing, and API development
• AI Orchestration: Hands‑on experience with LLM frameworks (LangChain, LlamaIndex) and vector databases
• Infrastructure & System Setup: Proven experience in setting up enterprise‑level SaaS environments from scratch, including user permissions, routing logic, and API authentication
• Systems Integration: Knowledge of integrating SaaS platforms and communication tools (CPaaS/VoIP) via REST APIs
• Analytical Rigor: Ability to use data to prove system performance (e.g., measuring hallucination rates, latency, or cost‑savings)
• Prompt Engineering: Experience building and testing complex, logic‑based prompt chains for production environments

Benefits

What we can offer you:

• Life Insurances
• Team Building