AI Engineer

G-Asiapacific; Subang Jaya; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Parking

Medical insurance

Travel benefits

Certificate incentives

Job summary

G-AsiaPacific seeks a hands-on AI Engineer to design, develop, deploy and operate AI-powered applications and agent-based solutions on AWS.

The role emphasizes Generative AI, foundation models, RAG, tool/api integration, and cloud-native deployment. Bedrock AgentCore experience is highly preferred.

Qualifications

• Hands-on software engineering with ability to design, build and deploy working AI-enabled solutions.
• Experience with AWS and cloud application deployment.
• Understanding of Generative AI, LLMs, prompt engineering, AI agents and agent orchestration.
• Experience with Bedrock or similar LLM platform; AgentCore preferred.
• Experience with REST APIs and integration with external systems.
• Knowledge of RAG, embeddings, vector search or knowledge retrieval preferred.
• Infrastructure as Code and deployment automation; Git-based development practices.
• Ability to explain architecture and trade-offs clearly.

Responsibilities

• Design, develop, deploy and operate AI-powered applications and agent-based solutions on AWS.
• Build enterprise chatbots, knowledge assistants and automation agents.
• Implement AI agents using Bedrock and AgentCore with memory, tools and observability.
• Develop RAG solutions integrating documents, databases and vector stores.
• Integrate AI agents with APIs and enterprise systems for useful workflows.
• Deploy AI apps using secure, scalable AWS architectures and CI/CD pipelines.
• Troubleshoot issues across AI models, AWS, IAM, APIs and deployment.
• Apply security, reliability, monitoring, and responsible AI practices.
• Leverage AI development tools while maintaining engineering quality.

Skills

Generative AI

AI agents

Cloud deployment

REST APIs

Troubleshooting

System integration

Education

Bachelor's degree or equivalent in CS/Software Engineering/AI

Tools

AWS Bedrock

Amazon Bedrock AgentCore

AWS services (Lambda, API Gateway)

CI/CD tools

Terraform / CloudFormation

Job description

We are looking for a hands‑on AI Engineer to design, develop, deploy and operate AI‑powered applications and agent‑based solutions on AWS. The role focuses on Generative AI, foundation models, AI agents, RAG, tool/API integration and cloud‑native deployment. Experience with Amazon Bedrock AgentCore is strongly preferred.

Key Responsibilities

Build practical Generative AI and agentic applications such as enterprise chatbots, knowledge assistants, customer support agents, IT support agents, document assistants and workflow automation agents.

Design and implement AI agents using Amazon Bedrock and preferably Amazon Bedrock AgentCore, including model integration, tools, APIs, memory/context and observability where appropriate.

Develop RAG solutions integrating enterprise knowledge, documents, databases and vector stores such as pgvector.

Integrate AI agents with APIs, MCP servers, business systems, databases and other tools to enable useful actions and workflows.

Deploy AI applications and supporting AWS services using secure, scalable and cost‑effective cloud architectures.

Automate infrastructure and application deployment using AWS CDK, CloudFormation, SAM, Terraform, CI/CD pipelines, scripts or equivalent approaches.

Troubleshoot application, AI model, AWS, IAM, API and deployment issues and support solutions through development, testing and production.

Apply appropriate security, reliability, monitoring, responsible AI and operational practices.

Leverage AI‑assisted development tools such as AWS Kiro, Amazon Q Developer, GitHub Copilot, ChatGPT or Claude while maintaining engineering quality.

Amazon Bedrock, Amazon Bedrock AgentCore, AWS Lambda, API Gateway, ECS, S3, DynamoDB, RDS, CloudWatch, IAM, EventBridge, Step Functions, vector databases, MCP, LangGraph and other relevant AI/cloud technologies

Required Skills

Hands‑on software/application engineering experience with the ability to design, build and deploy working solutions.

Practical experience with AWS and cloud application deployment.

Understanding of Generative AI, LLMs, prompt engineering, AI agents and agent orchestration.

Experience with Amazon Bedrock or an equivalent LLM platform; hands‑on AgentCore experience is strongly preferred.

Experience with REST APIs, SDKs, authentication and integration with external or enterprise systems.

Experience with RAG, embeddings, vector search or knowledge retrieval is preferred.

Understanding of Infrastructure as Code, deployment automation and Git‑based development practices.

Ability to troubleshoot technical issues independently and explain architecture and technical trade‑offs clearly.

Education

Bachelor's degree or equivalent practical experience in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science or a related discipline.

Preferred Qualifications

Hands‑on experience with Amazon Bedrock AgentCore and production GenAI/agentic applications.

Experience with LangGraph, MCP, FastAPI, pgvector or similar agent/tool/RAG technologies.

Experience with AWS CDK, Terraform, CloudFormation, SAM or CI/CD pipelines.

Experience with Docker/ECS, Lambda, API Gateway, CloudWatch and AWS IAM.

Experience with AI application evaluation, observability, guardrails, security and cost/latency optimization.

Relevant AWS certifications such as AWS Certified AI Practitioner, Machine Learning Engineer – Associate, Solutions Architect or Developer..

Good to Have

Hands‑on engineering mindset with the ability to turn an AI concept into a working deployed solution.

Strong practical understanding of AI agents, LLM applications and AWS.

Ability to make pragmatic technical decisions under time constraints.

Strong troubleshooting and problem‑solving capability.

Ability to use modern AI development tools effectively without relying on them blindly.

Clear communication of architecture, implementation and trade‑offs.

What We Offer:

Attractive and competitive remuneration package: Salary, On‑Target Incentive, Bonus and other benefits (Parking, Medical, Travel etc).

Exam Certifications sponsored by the company.

Certificate Incentive Programme.

Young, creative and flexible working environment and culture.

On the job training will be provided.

G-AsiaPacific, established in 2008, is a wholly‑owned subsidiary of Bursa Malaysia ACE Market‑listed K‑One Technology Berhad. As a leading cloud advisory and managed services provider, we have supported over 5,000 customers across Asia Pacific in their digital transformation journey.

We deliver end‑to‑end cloud solutions through strategic partnerships with Google Cloud, AWS, Microsoft, and Alibaba Cloud. At G-AsiaPacific, we foster innovation, collaboration, continuous learning, and career growth.

Join us in shaping the future of cloud technology, working alongside passionate professionals, and delivering meaningful digital transformation for businesses across the region.

G-AsiaPacific, established in 2008, is a wholly‑owned subsidiary of Bursa Malaysia ACE Market‑listed K‑One Technology Berhad. As a leading cloud advisory and managed services provider, we have supported over 5,000 customers across Asia Pacific in their digital transformation journey.

We deliver end‑to‑end cloud solutions through strategic partnerships with Google Cloud, AWS, Microsoft, and Alibaba Cloud. At G-AsiaPacific, we foster innovation, collaboration, continuous learning, and career growth.

Join us in shaping the future of cloud technology, working alongside passionate professionals, and delivering meaningful digital transformation for businesses across the region.

G-AsiaPacific, established in 2008, is a wholly‑owned subsidiary of Bursa Malaysia ACE Market‑listed K‑One Technology Berhad. As a leading cloud advisory and managed services provider, we have supported over 5,000 customers across Asia Pacific in their digital transformation journey.

We deliver end‑to‑end cloud solutions through strategic partnerships with Google Cloud, AWS, Microsoft, and Alibaba Cloud. At G-AsiaPacific, we foster innovation, collaboration, continuous learning, and career growth.

Join us in shaping the future of cloud technology, working alongside passionate professionals, and delivering meaningful digital transformation for businesses across the region.