AI Engineering Jobs in South Korea
There are 77 open AI Engineering jobs in South Korea on freehire right now. 8 of them were posted recently. The skills employers ask for most often are ai, llm and python.
Most requested skills
- ai 97%
- llm 69%
- python 51%
- machine-learning 48%
- api 34%
- pytorch 34%
- rag 34%
- agentic-ai 27%
How the work is done
- Hybrid 14 · 18%
- Onsite 5 · 6%
- Remote 3 · 4%
Visa sponsorship offered in 81% of the 26 postings that state a position on it.
Seniority
- Senior 9
- Intern 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
[인턴] AI Engineer
Build scalable data lakehouse pipelines and agentic AI systems that transform unstructured industrial data (CAD, PDF, images) into structured datasets for VLM/LLM training and multi-agent simulations.
Generative AI Systems Developer
Develops and maintains generative AI systems (LLMs, AI agents) to enhance insurance services for AIA’s customers, focusing on workflow design, architecture, and performance optimization for business needs.
Applied AI Engineer 4년 이상
Builds AI models for medical imaging, clinical data, and multimodal healthcare datasets to detect lesions and derive insights for group-wide business challenges.
Agent Engineer
Designs and evolves AI agent systems from customer projects into internal products, focusing on multi-agent architectures, context strategies, and tracing-based evaluation using frameworks like LangChain and LangGraph.
Applied AI Engineer
Build and ship AI-powered features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.
AI Engineer
Build and deploy AI models for industrial time-series data to improve manufacturing productivity, energy efficiency, and worker safety using Python, PyTorch/TensorFlow, and deep-learning architectures.
Junior LLM Application & AI Agent Engineer
Build and refine an LLM-based AI tutor that asks learners better questions, tracks understanding gaps, and delivers adaptive learning via FastAPI and Python.
AI Engineer (FDE)
Builds enterprise AI by modeling customer workflows and data into Ontology and Text-to-SQL logic so LLMs can answer real business questions accurately.
AI Engineer (Forward Deployed Engineer)
Builds and deploys AI solutions (RAG/AI Agents) on-prem and in AWS for external clients, owning end-to-end delivery from requirements to production.
AI Engineer (Product)
Build and improve DeepConnect, a semantic-layer RAG pipeline that turns unstructured enterprise data into AI-ready knowledge, using vector search, hybrid retrieval, and agent integrations.
LLM Engineer, Reinforcement Learning
LLM Engineer (Reinforcement Learning) Department: 1. Engineering Location: Pangyo (Software Dream Center), South Korea Employment Type: FullTime About the Team & Mission LLM Engineer(Reinforcement Learning)는 LLM학습…
LLM Inference Engineer
Optimizes and builds inference engines for large language models (LLMs) to serve the EXAONE model efficiently across frameworks, while contributing to open-source LLM serving projects like vLLM or SGLang.
AI Engineer (Navigation Agent)
Develops an AI navigation agent that interprets user intent and context to perform complex routing tasks using LLM fine-tuning, traditional ML, and real-world mobility data.
Senior AI Agent Engineer (Gleo Interactor)
Develops on-device AI agents for software-defined vehicles, orchestrating generative AI models to personalize user interactions and control vehicle features in real time.
LLM Engineer (LLM Training)
Designs and optimizes LLM training pipelines to build production-ready generative language models, focusing on efficiency and quality improvements in pre-training and post-training processes.
SDV Agent Engineer(Connected Service)
Develops and maintains in-vehicle agents (e.g., OTA, data collection/transmission) using Rust/C++ to connect SDV vehicles with mobile apps via cloud platforms.
Physical AI Engineer
Develops AI models for autonomous driving and robotics, focusing on trajectory generation, decision-making, and real-time performance optimization using reinforcement learning and motion planning.
Senior Physical AI Engineer
Builds high-fidelity, physics-based virtual environments for training and validating autonomous driving AI agents using 3D generative AI and vehicle dynamics models.
Senior AI Engineer (Closed-loop Simulation & RL)
Senior AI Engineer at 42dot designs and builds closed-loop simulation frameworks to evaluate and improve autonomous driving models using reinforcement learning, reward modeling, and policy distillation in South Korea.
Senior AI Engineer (Driving VLM/VLA)
Develop next-generation driving foundation models using Vision-Language-Model (VLM) and Vision-Language-Action (VLA) techniques with real-world autonomous driving data and multimodal AI.