We are looking for a AI Engineer with expertise in Generative AI and Agentic AI to enhance our innovative projects. The candidate will focus on embedding techniques, retrieval-augmented generation (RAG), prompt libraries and its feedback loop frameworks, particularly in relation to open-source LLMs such as Qwen, Llama, and Mistral.
- Embedding Techniques: Design and implement effective embedding strategies to optimize generative AI model performance.
- Agentic AI Frameworks: Develop applications using frameworks like Lang Chain and LangGraph.
- Prompt Library Management: Create and maintain a library of optimized prompts, ensuring iterative refinement through user feedback loops.
- LLM Fine-Tuning: Fine-tune large language models, with a focus on China-based or open-source models.
- Data Tagging/Labelling: Oversee data tagging processes for insight generation and model training, ensuring high-quality inputs.