About the Role
Our client is a Korean AI product company building enterprise-grade AI infrastructure LLM pipelines, agentic systems, and production ML at scale. They're past the prototype stage and expanding their remote engineering team to keep up with product demand.
TECH STACK:
- Python, PyTorch
- LLM integration, RAG, prompt engineering
- Agentic frameworks: LangChain / LlamaIndex
- MLOps: MLflow, Weights & Biases
- Cloud: AWS / GCP
REQUIREMENTS:
- 4+ years of ML/AI engineering experience
- Production-grade Python — not just notebooks
- Hands-on with LLM-based features and agentic workflows
- Experience deploying and monitoring models on cloud infrastructure
- Good English communication
- Available for full-time remote work
NICE TO HAVE:
- Fine-tuning experience (LoRA, RLHF)
- NLP, computer vision, or recommendation systems background
WHAT YOU GET:
- 100% remote — work from anywhere
- Competitive USD compensation
- Long-term engagement with a stable Korean AI product company
- Real ownership over AI architecture and delivery