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Webby Group Linkedin · Posted 4d ago

AI Software Engineer

Kuala Lumpur

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Indexed description

Responsibilities

  • Design, develop, and deploy AI-powered software applications and enterprise solutions.
  • Build and optimize AI Agents, Copilots, and Agentic AI workflows using modern LLM technologies.
  • Develop Retrieval-Augmented Generation (RAG) systems integrated with enterprise knowledge bases.
  • Integrate Large Language Models (LLMs) such as OpenAI, Anthropic Claude, Gemini, DeepSeek, Qwen, and other foundation models into business applications.
  • Design scalable backend services and APIs to support AI applications.
  • Integrate AI solutions with third-party systems including ERP, CRM, HRMS, databases, and cloud services.
  • Build and maintain prompt engineering strategies, evaluation pipelines, and model optimization workflows.
  • Collaborate with Product Managers, UI/UX Designers, and Software Engineers to deliver high-quality AI products.
  • Optimize AI application performance, scalability, security, and operational costs.
  • Research, evaluate, and adopt emerging AI technologies, frameworks, and best practices.
  • Write clean, maintainable, and well-documented code following software engineering best practices.
  • Participate in code reviews, architecture discussions, and technical planning.


Job Requirements

Must Have

  • Bachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
  • > 5 years of software development experience .
  • Strong programming skills in Python, Node.js (TypeScript), or both.
  • Experience building applications using REST APIs and modern backend frameworks.
  • Hands-on experience with one or more LLM providers
  • Experience with Prompt Engineering and LLM application development.
  • Familiarity with Git and collaborative software development practices.
  • Strong analytical, debugging, and problem-solving skills.
  • Good communication skills and ability to work in an Agile environment.


Preferred Skills

  • Experience with AI orchestration frameworks
  • Experience building multi-agent AI systems.
  • Experience implementing RAG architectures.
  • Familiarity with vector databases.
  • Experience with SQL and NoSQL databases.
  • Experience deploying applications using Docker and Kubernetes.
  • Experience with AWS, Azure, Google Cloud, or Tencent Cloud.
  • Experience with CI/CD pipelines and DevOps practices.
  • Familiarity with frontend technologies such as React or Next.js is an advantage.


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