Develop AI infrastructure, LLM pipelines, and agentic systems for a Korean AI product company. 4+ years of ML/AI engineering experience required. Competitive USD compensation and remote work offered.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
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- Type of work: 100% Remote
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
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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
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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
How to Apply for This Opportunity: Complete your Supercoder profile at developer.supercoder.co/sign-up. Candidates with complete profiles are prioritized.
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