Software Engineer, Machine Learning - ML 인프라

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SEOULPosted 9 days ago

Apply on Daangn's career page

Market pay check

Matched to Computer systems and software professionals

Source: Ministry of Employment and Labor wage information system (wage.go.kr), wage distribution by occupation.

What you'd do

Develop and extend the internal LLM router supporting prompt studio and agent systems across the company
Build ML metadata management and AI-agent-based automated experiment analysis systems
Operate and improve model serving infrastructure integrated with internal deployment platform (Kontrol)

What they want

3+ years (mid-level) or 5+ years (senior) backend or ML systems development experience
Python proficiency and comfort with Python-based development environments
Ability to define and solve problems without clear references or precedents

Nice to have

Production service operations experience with reliability and scalability improvements
Experience building shared platforms or internal tooling used by multiple teams
Understanding of ML serving pipelines,training pipelines,or LLM-based service architecture

Seoulstart's read

Visa tier (likely): E-7 specialty / professional (likely)
Korean language: Native Korean fluency required
English friendliness: Medium: English JD, mixed-language workplace
Context: Daangn is building internal LLM infrastructure for the top hyperlocal app in Korea at 20M-user scale,offering a rare opportunity to design AI platform primitives that determine how national consumer AI products get built.

This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify visa sponsorship, language requirements, and remote allowances directly with the recruiter.

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