Middle AI Engineer (ML, LLM, Python, English)

Fine-tune and optimize existing open-source LLMs (e.g., Code LLaMA, StarCoder) for coderelated tasks (completion, explanation, refactoring, bug fixing).Process and manage large-scale, multi-language code datasets (cleaning, deduplication, quality filtering) using distributed frameworks .Implement Retrieval-Augmented Generation (RAG) pipelines with vector databases for code and technical document retrieval.Optimize model inference performance (quantization, distillation, GPU acceleration) for lowlatency serving.Develop APIs/microservices to integrate AI features into IDE extensions (VS Code API, TypeScript).Monitor and evaluate model performance using code-specific metrics .Collaborate with Data Engineers, Product, and DevOps to ensure high-quality data, scalable deployment, and stable production performance.Write clean, maintainable code, manage version control (Git), and document experiments and deployment processes.