AI Systems Engineer — Build Production AI Apps

Pand.ai

Kuala Lumpur

On-site

MYR 70,000 - 110,000

Full time

24 hours ago
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Job summary

Pand.ai is seeking an AI Engineer in Kuala Lumpur to build AI-powered applications and backend services. You will tackle complex problems from requirements through deployment, applying strong Python fundamentals and a willingness to learn new technologies.

The role focuses on integrating AI with enterprise data, APIs and workflows, building interfaces with React/TypeScript, and deploying on Docker/cloud infrastructure while advancing system reliability and performance.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • Strong Python proficiency and production-grade software experience.
  • Experience building production software, backend services or APIs used by others.
  • Solid understanding of databases and API integration.

Responsibilities

  • Build AI-powered applications, backend services and APIs using Python.
  • Develop RAG, semantic search, agentic and LLM-powered systems.
  • Integrate AI with enterprise data, APIs, tools and business workflows.
  • Build product interfaces using React and TypeScript.
  • Deploy and operate applications using Docker and cloud infrastructure.
  • Design, debug and improve systems for reliability, security and performance.

Skills

Very strong Python
Production software / backend APIs
Databases & APIs understanding
Problem solving
Learning velocity
Clear communication
Based in Kuala Lumpur

Education

Bachelor's degree in Computer Science, Software Engineering, or related field

Tools

Docker
APIs

Job description

Pand.ai is seeking an AI Engineer in Kuala Lumpur to build AI-powered applications and backend services. You will tackle complex problems from requirements through deployment, applying strong Python fundamentals and a willingness to learn new technologies.

The role focuses on integrating AI with enterprise data, APIs and workflows, building interfaces with React/TypeScript, and deploying on Docker/cloud infrastructure while advancing system reliability and performance.

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