Gen AI & Agentic AI Engineer - Integration & Apps

CompAsia; Selangor; On-site; MYR 90,000 - 180,000; Full time

Job summary

CompAsia is seeking an hands-on AI Engineer to design, develop, and deploy Generative AI solutions. You will apply LLM tech to real business use cases and integrate AI capabilities into existing systems via APIs, databases, and enterprise platforms.

The role emphasizes building AI-powered chatbots, copilots, and Agentic AI workflows with a focus on performance, cost, and security across cloud/on-prem environments.

Qualifications

• Bachelor's degree in Computer Science, AI/ML, Software Engineering, or related field.
• 3+ years of experience in AI/ML engineering or a related role.
• Hands-on experience developing LLM-powered applications and AI chatbots.

Responsibilities

• Design and develop AI-powered chatbots, copilots, and LLM applications for business use cases.
• Build Agentic AI solutions capable of reasoning, tool calling, multi-step task execution, and workflow automation.
• Implement RAG, embeddings, vector search, prompt engineering, function/tool calling, and conversational memory.
• Integrate AI models with existing applications, REST APIs, databases, CRM/ERP systems, and enterprise platforms.
• Collaborate with software engineers, architects, product teams, and business stakeholders to deliver practical AI solutions.

Skills

Python

AI/ML engineering

REST APIs

Cloud/On-premise

Agentic AI

Education

Bachelor's degree in Computer Science, AI/ML, Software Engineering, or related field

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

OpenAI Platform

Azure OpenAI

Anthropic

Gemini

Job description

CompAsia is seeking an hands-on AI Engineer to design, develop, and deploy Generative AI solutions. You will apply LLM tech to real business use cases and integrate AI capabilities into existing systems via APIs, databases, and enterprise platforms.

The role emphasizes building AI-powered chatbots, copilots, and Agentic AI workflows with a focus on performance, cost, and security across cloud/on-prem environments.