Design and implement the Kong API Gateway architecture including routing rules, load balancing, rate limiting, request transformation, and logging plugins
Develop custom Kong plugins using Lua to meet platform-specific authentication, authorisation, and data transformation requirements
Lead the development of integration services in Python and Perl to support synchronous and asynchronous data exchange between ICX modules and Ranhill SAJ legacy systems
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Design and Scope Engagements: Plan, scope, and lead security assessment activities targeting network infrastructure, web applications, mobile platforms, and cloud environments.
Advanced Testing: Conduct offensive security exercises, including Red Team exercises, to simulate real-world threats and test defensive capabilities.
Post-Engagement Analysis: Oversee the thorough documentation of findings, providing clear, actionable, and prioritized recommendations to mitigate identified risks.
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As an AI Engineering Intern at Axium Industries, you'll work alongside senior engineers to help build and experiment with intelligent, agent-based systems. This role is designed for students or early-career technologists who want hands-on exposure to real production AI systems, not just toy projects.
You'll contribute to prompt engineering, simple agent workflows, and supporting tools that power Axium's multi-agent platforms. You'll learn how modern AI systems are designed, evaluated, and shipped in a fast-moving startup environment, with mentorship and structured guidance from experienced engineers.
This internship is ideal for someone curious about LLMs, agentic AI, and full-stack systems, and who wants to grow into a strong AI engineer.
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Lead the execution of client-facing data science, analytics, and data engineering projects from scoping through deployment and handover.
Design analytical approaches and solution architectures using our low-code data science studio, visual ETL platform, and enterprise lakehouse (with change-data-capture capabilities).
Write Python to extend, integrate, or bridge these platforms — custom transformations, model logic, APIs, automation, and anything the visual tools can't handle out of the box.
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On-Site Client Deployment: Work directly at the client’s designated location in KL City Centre to execute cloud infrastructure projects, deliver system integration, and manage technical client requirements.
Cloud Infrastructure Provisioning: Design, deploy, and maintain secure, highly available cloud environments (AWS, Azure, or GCP) aligned with client security and operational policies.
Automation & IaC: Write and manage clean Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Bicep to automate provisioning and minimize manual configuration.
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Design, build, and evolve critical platform components such as API services, workflow engines, multi-agent orchestration systems, RAG infrastructure, and intelligent memory systems.
Own major subsystems within SupplyOS, including architecture, implementation, testing, and long-term maintainability.
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