Middle NLP/LLM Engineer (AI)

RELOCATION TO SOUTH KOREA

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.

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