Middle NLP/LLM Engineer (AI)

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.