Senior AI & LLM Engineer

Role overview Develop retrieval-augmented generation (RAG) pipelines, AI agents, and private large language model deployments for enterprise use. The role covers the path from processing and retrieving documents to serving open models on GPU infrastructure and evaluating the quality of generated answers.

Responsibilities - Build RAG pipelines for document parsing, embeddings, hybrid search, and reranking. - Serve open models on GPU infrastructure using vLLM or a comparable system. - Evaluate answer quality and improve system performance. - Develop AI agents and tool-use workflows with LangGraph or similar frameworks. - Support private LLM deployments for enterprise clients in South Korea.

Requirements - At least five years of machine learning or NLP experience, including two or more years working with LLMs. - Hands-on experience with core RAG components, including document processing and retrieval. - Experience serving open models on GPUs. - Familiarity with agent frameworks and tool-use patterns. - Valid Korean residency documentation and good working English; Korean is an advantage.

Benefits and work setup - Full-time contract with market-level compensation based on experience. - Work on private LLM and RAG platforms for enterprise clients in South Korea. - Join a small, experienced team and work directly with its CEO.