MY - AI Specialist at Zeal Group

Kuala Lumpur, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LangChain, LlamaIndex, Vector Databases, RAG, LLM, API Development, Webhooks, Prompt Engineering, Data Mapping, System Architecture, Data Validation, SaaS Platforms, VoIP, CRM, Ticketing

Industry

Financial Services

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. 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. What we can offer you: Life Insurances Team Building

Responsibilities

This technical role involves building, maintaining, and scaling AI and automation infrastructure, focusing on architecting custom LLM solutions like RAG pipelines to enhance client experience systems. Key duties include leading system setup, developing production-grade Python automation scripts, and ensuring all technical implementations are supported by empirical data.