AI Engineer – Gen AI, Agentic AI & Integration

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

Jora Malaysia will close on 16th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

AI Engineer – Gen AI, Agentic AI & Integration

AI Engineer – Gen AI, Agentic AI & Integration

Job Overview

We are looking for a hands-on AI Engineer to design, develop, integrate, and deploy Generative AI, AI chatbot, and Agentic AI solutions. The role will focus on applying LLM technologies to real business use cases and integrating AI capabilities into our existing applications, APIs, databases, and enterprise systems.

Key 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.
• Work with both commercial and open-source LLMs, selecting models based on performance, cost, security, and deployment requirements.
• Integrate AI models and agents with existing applications, REST APIs, databases, CRM/ERP systems, and enterprise platforms.
• Develop AI integration services and APIs that enable existing systems to consume AI capabilities and allow agents to perform authorized business actions.
• Evaluate, monitor, and optimize AI solutions for accuracy, reliability, latency, scalability, security, and cost.
• Collaborate with software engineers, architects, product teams, and business stakeholders to identify and deliver practical AI solutions.
• Stay current with developments in Generative AI, open-source LLMs, Agentic AI, and AI automation.

Requirements

• Bachelor's degree in Computer Science, AI/ML, Software Engineering, or related field.
• 3+ years of experience in AI/ML engineering, software engineering, or a related role.
• Proven hands-on experience developing LLM-powered applications, AI chatbots, or Generative AI solutions.
• Practical experience with AI agents, Agentic AI, tool/function calling, or AI workflow automation.
• Experience with open-source LLMs such as Llama, Qwen, Mistral, Gemma, or equivalent.
• Strong Python programming and software engineering skills.
• Experience with REST APIs, system integration, databases, and cloud/on-premise environments.
• Hands-on experience with RAG, vector databases, embeddings, and prompt engineering.
• Experience with AI/LLM frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent.
• Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, and/or open-source models.
• Experience with …? What?
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