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AI Software Engineer

SIRCLO

Tangerang Selatan

On-site

IDR 504.965.000 - 757.449.000

Full time

Today
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Job summary

A technology company located in Indonesia is seeking a Software Engineer to design and build scalable data architectures for AI systems. The ideal candidate will have strong experience in software engineering with a mindset focused on ownership. Key responsibilities include using AI-assisted coding, owning features end-to-end, and creating technical documentation. Proficiency in SQL and experience with Linux and Docker are essential for success in this role.

Qualifications

  • Strong experience as a Software Engineer with a high-ownership mindset.
  • Able to debug, refine, and maintain AI-generated code.
  • Strong SQL skills and experience designing scalable data workflows.
  • Fast learner, able to pick up new tools quickly.

Responsibilities

  • Design and build scalable data architectures and automated workflows for AI systems.
  • Use AI-assisted coding for development, focusing on architecture and quality.
  • Own features from development to deployment.

Skills

Software engineering
Problem-solving
SQL
Debugging
AI code maintenance

Tools

Linux
Docker
CI/CD
Job description
Responsibilities
  • Design and build scalable data architectures and automated workflows that power AI systems.
  • Use AI-assisted coding for most development, focusing on architecture, review, and production quality.
  • Read, audit, and improve complex (including AI-generated) codebases.
  • Build reusable, well-documented internal libraries.
  • Own features end-to-end, from local development to CI/CD and deployment.
  • Produce clear, structured technical documentation.
Requirements
  • Strong experience as a Software Engineer with a high-ownership, generalist mindset.
  • Native AI coding approach: able to debug, refine, and maintain AI-generated code in production.
  • Strong fundamentals; able to build working systems using a language’s standard library when needed.
  • Excellent problem-solving and logical thinking skills.
  • Strong SQL skills and experience designing scalable data workflows.
  • Comfortable working in the terminal (Linux, SSH, Docker, CI/CD).
  • Strong debugging and testing skills across complex systems.
  • Fast learner, able to pick up new tools and languages using documentation.
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