AI Software Engineer

SIRCLO; Tangerang Selatan; On-site; IDR 504.965.000 - 757.449.000; Full time

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.