Middle NLP/LLM Engineer (AI)
Location: Incheon, South Korea | On-site / Hybrid
Salary: Competitive, discussed individually
About the Role
We are looking for a Middle / Strong Middle NLP / LLM Engineer to develop production AI solutions across RAG, LLM applications, AI assistants, document processing and multilingual NLP, working closely with senior engineers.
Key Responsibilities
•Develop and improve RAG applications: chunking, embeddings, retrieval and reranking.
•Build LLM workflows and agents with LangChain, LangGraph, LlamaIndex, CrewAI or similar.
•Develop query rewriting, intent classification, routing and structured extraction.
•Integrate LLM APIs/models into production systems.
•Work with OpenAI, Gemini, Hugging Face and PyTorch.
•Contribute to SFT, LoRA, QLoRA, PEFT and LLM evaluation.
•Work with OCR, PDF/DOCX, STT and conversational memory.
•Build APIs with Python / FastAPI and work with Docker, Git, testing and CI/CD.
•Monitor and improve model quality, latency and cost.
•Take ownership of individual features/components with senior-engineer mentorship.
Requirements
•2–4 years in NLP / ML / Information Retrieval / Applied AI.
•Strong Python skills.
•Hands-on experience with LLM / RAG / AI-agent applications.
•Understanding of transformers, embeddings, prompting, retrieval, chunking and reranking.
•Experience with LangChain / LangGraph / LlamaIndex / CrewAI.
•Experience with Qdrant / Pinecone / Milvus / Weaviate / Elasticsearch.
•Experience with OpenAI / Gemini / Hugging Face and familiarity with PyTorch.
•Understanding of LLM evaluation and hallucination mitigation.
•FastAPI, REST, Docker, Git.
•Multilingual NLP is a plus.
•Professional English.
Nice to Have
SFT / LoRA / QLoRA / PEFT; BM25 / RRF; RAGAS / DeepEval / LangSmith / Langfuse; OCR/STT; Graph RAG; vLLM/TGI/Triton; GPU optimization.
Korean is a plus.
Visa and relocation support may be available.
