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