We are looking for an AI Engineer responsible for building, operating, and improving AI models and AI-driven systems.
The role focuses on LLM systems, model lifecycle management, data pipelines, and feedback-driven model improvement. The engineer will work with modern AI frameworks and tools to deploy, monitor, and continuously improve AI models in production environments.
KEY RESPONSIBILITIES
Work with AI models and LLM systems and integrate them into products.
Possess knowledge or experience with ASR/TTS models in production.
Implement fine-tuning and feedback loop pipelines to improve model performance.
Build RAG / GraphRAG systems using frameworks such as LangChain or LangGraph.
Use AI agents in software development workflows and automation.
Process and prepare datasets for model training, fine-tuning, and evaluation.
Yêu cầu công việc
Technical Skills
Strong programming skills in Python.
Hands-on experience with autonomous AI agent platforms such as Hermes and OpenClaw.
Understanding of AI/LLM models and model deployment.
Experience with: Fine-tuning and model improvement pipelines, RAG/GraphRAG, LangChain/ LangGraph.
Knowledge or experience with open-source model ecosystems, such as: HuggingFace, Ollama, llama.cpp, Unsloth...
Ability to build feedback loops for model learning and improvement.
Experience processing data for model training or fine-tuning.
Familiar with AI agents and AI-assisted development tools.
Nice to Have
Experience with vector databases or knowledge systems.
Experience deploying AI systems on cloud or GPU infrastructure.
Experience working with open-source LLM models (Llama, Mistral, Qwen, etc.).
Language Requirement
Good English reading skills are required, as the role involves working with AI research papers, technical documentation, and communicating in an international technical environment.
Knowledge of Chinese (Mandarin) is a plus, particularly for candidates who can read technical materials or research documents written in Chinese.
