Intelligent Systems R&D Developer

LNS International

Kuala Lumpur

On-site

MYR 60,000 - 80,000

Full time

14 days+
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Job summary

LNS International Limited is looking for a skilled software developer to design and develop intelligent applications and automation systems. The role requires expertise in working with Linux environments, developing APIs, and a strong grasp of machine learning. Successful candidates will have at least 3 years of experience and a degree in Computer Science or related fields. You'll be collaborating with cross-functional teams to optimize system performance and integrate cutting-edge LLM technologies. Join us in Kuala Lumpur to push the boundaries of intelligent systems.

Qualifications

  • Minimum 3 years of hands-on experience in software development.
  • Familiarity with shell scripting and server configuration.
  • Practical understanding of machine learning and LLM integration.

Responsibilities

  • Design, develop, and maintain applications and services.
  • Build and integrate LLM-powered features and APIs.
  • Collaborate with cross-functional teams on intelligent systems.

Skills

Software Development
Linux Environment
Problem-Solving
API Development
Machine Learning

Education

Bachelor’s Degree in Computer Science or related field

Tools

Ubuntu
OpenWRT

Job description

Overview

• Design, develop, and deploy intelligent applications, workflows, and automation systems that enhance internal operations and broader business processes

• Build and integrate LLM-powered features, APIs, and data-driven services into scalable platforms.

• Develop, deploy, and maintain applications and services within Linux environments (e.g., Ubuntu), including scripting, system configuration, and performance tuning

• Work with network and embedded platforms (e.g., OpenWRT) to integrate intelligent systems into edge devices, gateways, or network infrastructure

• Develop backend systems and microservices to support intelligent applications, automation workflows, and data-driven platforms.

• Design and manage workflow and internal data, including preprocessing, transformation, and integration of structured and unstructured data.

• Translate business requirements into technical architectures and working solutions.

• Optimize system performance, scalability, and cost efficiency in production environments.

• Work across the full development lifecycle: design, implementation, testing, deployment, and maintenance.

• Collaborate with cross-functional teams including network, cybersecurity, and solution consultants.

• Continuously explore and evaluate emerging technologies in intelligent systems, automation, and software development.

Responsibilities
  • Design, develop, and deploy intelligent applications, workflows, and automation systems that enhance internal operations and broader business processes
  • Build and integrate LLM-powered features, APIs, and data-driven services into scalable platforms.
  • Develop, deploy, and maintain applications and services within Linux environments (e.g., Ubuntu), including scripting, system configuration, and performance tuning
  • Work with network and embedded platforms (e.g., OpenWRT) to integrate intelligent systems into edge devices, gateways, or network infrastructure
  • Develop backend systems and microservices to support intelligent applications, automation workflows, and data-driven platforms.
  • Design and manage workflow and internal data, including preprocessing, transformation, and integration of structured and unstructured data.
  • Translate business requirements into technical architectures and working solutions.
  • Optimize system performance, scalability, and cost efficiency in production environments.
  • Work across the full development lifecycle: design, implementation, testing, deployment, and maintenance.
  • Collaborate with cross-functional teams including network, cybersecurity, and solution consultants.
  • Continuously explore and evaluate emerging technologies in intelligent systems, automation, and software development.
Requirements
  • Bachelor’s Degree in Computer Science, Software Engineering, Data Science, or related fields.
  • Minimum 3 years of hands-on experience in software development, with exposure to intelligent systems, automation, or data-driven applications
  • Proven experience building or contributing to real-world deployed systems involving automation workflows, LLM integrations, or data-driven decision systems (not purely academic projects)
  • Experience working in Linux-based environments (e.g., Ubuntu) for development, deployment, and system operations, including familiarity with shell scripting, process management, and server configuration
  • Exposure to embedded or network operating systems such as OpenWRT, including configuration, customization, or deployment on network devices (routers, gateways, or edge systems) is an added advantage
  • Familiarity with libraries, tools, or frameworks related to intelligent systems, APIs, or workflow automation is an added advantage
  • Experience developing and integrating APIs and backend services
  • Practical understanding of machine learning, LLM integration, or automation workflows.
  • Experience working with workflows, data and handling structured and unstructured data.
  • Strong problem-solving skills with a focus on practical, scalable solutions.
  • Ability to work independently while collaborating effectively in a team environment.
What you'll work on
  • Continuously adapt to and learn from the rapidly evolving AI landscape, applying new technologies to automate and enhance internal processes
  • LLM-powered tools for data analysis, reporting, and workflow automation
  • Intelligent systems deployed on edge and network devices (e.g., Linux-based environments such as Ubuntu servers and OpenWRT-powered routers/gateways) to enable real-time automation and distributed decision-making
  • Backend systems that integrate APIs, data pipelines, and intelligent decision logic
  • Automation pipelines that reduce manual processes and improve operational efficiency
  • Scalable internal tools used across multiple departments and regional operations
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