We are a startup developing a simulation automation SaaS solution, aiming for natural language-based engineering task automation.
Currently, we are conducting a fine-tuning project for an LLM-based simulation specialized model and are looking for talented individuals to join us in this field.
Developing simulation agents in collaboration with domain experts
https://mek-lab.com/
- Design LLM-based agents that understand user goals and configure appropriate simulation processes
- Build automation utilizing agent frameworks
- Domain-specific LLM fine-tuning (using LoRA / QLoRA / PEFT, etc.)
- Build prompt/response data suitable for simulation code/workflow generation
- Conduct experiments and performance validation based on HuggingFace Transformers and related open-source
- Collaborate on specialized architecture development such as RAG, MCP, and Agent integration
- Experience in fine-tuning LLM or NLP models (preference for lightweight fine-tuning like LoRA)
- Experience with HuggingFace Transformers or PEFT libraries
- Major in natural language processing or deep learning or relevant experience
- Experience using RAG, LangChain, Agent Framework
- Domain knowledge related to simulation, CAD, FEM
- Experience in engineering simulation or use of open-source visualization and analysis tools such as Trame, ParaView, FreeCAD, Salome
- Experience in automating Engineering Workflow
Benefits and Work Environment
- Employment type negotiable
- Location: Seoul Gasan or remote
- Working hours: Flexible negotiation available
- Salary: Negotiable (based on experience and project scope)
- Familiar with startup culture or experience in AI SaaS projects
