[AI Frontier Div.] AI Native Full Stack Engineer (5년 이상)
About this role
Developers who enjoy leveraging AI coding tools to rapidly learn, build, and scale production systems while treating AI as a core development partner will find a strong fit in this role. The AI Frontier Division at Krafton operates as an execution-focused organization, utilizing six squads to experiment and scale in-game, production, and LLM artificial intelligence projects.
Team members build and maintain robust software services that connect advanced machine learning models to large-scale user traffic. Responsibilities include designing backend infrastructure, integrating inference functions, and establishing continuous integration pipelines. Ideal candidates bring extensive software engineering backgrounds, a readiness to adopt new developer tooling, and a focus on delivering stable, cost-effective features to global fans.
What you will do
- Collaborate with teammates across the development, deployment, and operation lifecycle of artificial intelligence products.
- Develop and improve service features powered by machine learning models.
- Integrate model inference functions into services while monitoring and optimizing performance, stability, and cost metrics.
- Utilize continuous integration and deployment pipelines alongside data pipelines to release and manage services.
- Analyze and resolve service issues using logs and monitoring tools in cloud environments.
What you need
- Hold at least five years of software development experience or equivalent practical capability.
- Demonstrate backend service development experience using Node.js, Python, Kotlin, or Go.
- Understand and apply foundational structures of backend services including APIs, databases, and servers.
- Possess hands-on experience working with relational or NoSQL databases.
- Show a history of testing developed features and deploying them to live environments.
- Bring practical experience operating services used by real users and resolving production issues.
Nice to have
- Experience developing, deploying, and operating services in AWS, GCP, or Azure cloud environments
- Familiarity with container environments like Docker, Kubernetes, or Infrastructure as Code
- Experience with GPU-based model serving environments or tools such as vLLM and Triton
- Direct development and operation of artificial intelligence services used by actual users
- Frontend development experience with React or TypeScript to implement features directly when needed
Skills and tech stack
Questions candidates ask
What is the work location for this position?
The position is located at the Gangnam Centerfield office in Seoul, South Korea.
What does the hiring process look like?
The recruitment process consists of a document review, an assignment screening, a personality assessment, a technical fit interview, and two to three comprehensive culture fit interviews.
Is there a probationary period for this role?
A five-month probationary period applies, during which employment may be evaluated, though there are no changes in employment type or salary during this period.