KRAFTON

[AI Frontier Div.] AI Native Full Stack Engineer (5년 이상)

KRAFTON · Seoul; Seoul, South Korea

Posted 3 days ago

or apply directly on KRAFTON's site. We never take the application ourselves.

Is this posting real?

This role has been open
3 days
KRAFTON's roles stay open a median of 81 days
Reposted
No
Salary listed
No
0% of KRAFTON's roles list one
Ghost-job risk at KRAFTON
high
61 stale, 1 reposted of 76 open
Hiring momentum
107 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from KRAFTON's own greenhouse board since 2026-08-03. Full hiring picture for KRAFTON.

About this role

The AI Native Full Stack Engineer will work within the AI Frontier division to develop, deploy, and operate AI-based products. Responsibilities include collaborating with teammates on service functionality, integrating AI model inference, and utilizing CI/CD and data pipelines for service deployment. The role requires a focus on creating stable and scalable services in a high-traffic environment while leveraging AI tools effectively.

Our read on this posting2.8out of 5
benefits
1/5
freshness
5/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of KRAFTON as an employer.

What you need

  • 5+ years of software development experience
  • Experience in service development using Backend technologies (Node.js/Python/Kotlin/Go)
  • Understanding of backend service structures including API, databases, and servers
  • Experience with RDBMS or NoSQL databases
  • Experience in testing and deploying developed features
  • Experience in developing or operating services used by actual users

Nice to have

  • Experience in developing, deploying, and operating services in cloud environments (AWS, GCP, Azure)
  • Experience with container environments like Docker or understanding of Kubernetes and IaC
  • Experience with GPU-based model serving environments or understanding of model serving tools like vLLM, Triton
  • Experience implementing service functionality using open-source models
  • Experience developing or operating AI services or features used by actual users

Worth weighing

  • No salary or specific benefits listed
  • Probation period of 5 months with potential for early termination based on evaluation
  • Employment type may change based on negotiation results
  • Application process includes multiple interview stages, which may vary by candidate

Summarised from KRAFTON's posting. Read the full original.

Listed by KRAFTON on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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