AI Engineering Jobs in South Korea
There are 76 open AI Engineering jobs in South Korea on freehire right now. 7 of them were posted recently. The skills employers ask for most often are ai, llm and python.
Most requested skills
- ai 97%
- llm 68%
- python 51%
- machine-learning 49%
- api 34%
- pytorch 34%
- rag 34%
- agentic-ai 26%
How the work is done
- Hybrid 14 · 18%
- Onsite 5 · 7%
- Remote 3 · 4%
Visa sponsorship offered in 81% of the 26 postings that state a position on it.
Seniority
- Intern 8
- Senior 8
- Lead 2
- Staff 2
- Junior 1
Who is hiring
- 51-200 employees 16
- 11-50 employees 14
- 501-1000 employees 12
- 1000+ employees 10
AI Engineer (Commerce)
Build and deploy AI models (LLM, RAG, multimodal) to automate commerce tasks like seller evaluation and product search at Toss’s ecommerce unit.
AI Engineer (Model)
Build, train, and evaluate in-house large language models to replace costly commercial LLMs for Toss’s services, focusing on Korean language and domain-specific capabilities.
AI Engineer (Platform)
Build and operate the AI platform that lets teams at Toss rapidly experiment with and deploy LLM-based systems like RAG and Agents, focusing on retrieval, generation, and vector search components.
AI Engineer (Serving)
Build and optimize production-grade LLM serving systems using frameworks like vLLM and Triton to run large-scale models reliably and efficiently.
Product Manager (LLM)
Leads end-to-end planning, experimentation, and delivery of AI/ML-powered features for a Korean neobank, collaborating with data scientists and engineers to drive user and business impact.
AI Engineer (WM)
Builds and deploys LLM-based AI investment agents for Toss Securities, designing multi-agent systems, tool orchestration, and data pipelines to deliver personalized financial advice while ensuring compliance, explainability, and reliability for millions of users.
AI Engineer (Brain, AIOC)
Build and refine AI agents that converse naturally with customers via text, images, and real-time voice, using RAG, tool calling, and multimodal models to execute business tasks.
Algorithm - AI Research Engineer
AI Research Engineer developing proprietary LLMs for agentic tasks, RL post-training pipelines, and frontier AI research at a Korean AI chip company, primarily using PyTorch and deep learning frameworks.
Sr. Solutions Architect - Applied AI for Supply Chain, Korea, Applied AI Solutions Decisions GTM
Lead the design of enterprise agentic AI architectures for supply chain decision-making at AWS, collaborating with C-suite stakeholders, creating reference architectures, and shaping the AWS product roadmap for the Korea/APJ market.
LLM Engineer (Data Generation)
Design, generate, evaluate, and improve LLM training data (instruction, preference, reasoning, domain-specific) and build automated synthetic data generation pipelines using Python and LLMs.
독자AI파운데이션 모델 개발 Internship (World Best LLM)
Internship developing cutting-edge large language models: training, fine-tuning, benchmarking, and optimizing inference engines for state-of-the-art AI foundations.
HCG AI x HR R&D Center_AI Engineer
AI Engineer at HCG's AI x HR R&D Center developing AI Agent services for HR domains (recruitment, evaluation, salary, training) using AI/ML technologies.
LLM 엔지니어
LLM Engineer improving AI character chatbot response quality, building recommendation and search systems, and developing ML-based creator tools for a Korean AI chat startup.
LLM 기반 AI Agent 애플리케이션 개발 엔지니어 (Python)
Develop Python-based AI Agent applications using LLMs like OpenAI and Anthropic, designing and implementing intelligent services with Microsoft, AWS, and Azure cloud technologies, and deploying solutions in Docker/Kubernetes environments.
AI Agent Engineer
Build and optimize AI agents and RAG systems for Hyundai Capital’s mobility-finance products using Python, LLMs, and DevOps tools.
[인턴] [NetsPresso] AI Software Engineer (Software Engineering팀)
Build and maintain AI optimization tools and on-device generative AI solutions using Python, Docker, and cloud services for an AI-hardware startup.
[인턴] [NetsPresso] R&D AI Engineer (Quantization팀)
Research and implement model quantization algorithms to optimize AI models for on-device deployment using PyTorch, ONNX, and related tools.

