Generative AI Scientist
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职位介绍
Design, build, and deploy Generative AI applications for document summarization, classification, and Q&A using unstructured and structured data.
Develop and optimize end-to-end systems on Google Cloud with LLMs (GPT, Gemini, LLaMA) and tooling like LangChain and LlamaIndex.
Implement best practices in Retrieval Augmented Generation (RAG) and vector databases (Pinecone, ChromaDB, pgvector) for fast, accurate results.
Collaborate with customers to capture requirements, propose features, and translate them into production-ready capabilities with a strong focus on quality.
Experiment with fine-tuning of LLMs and embedding models, build ML pipelines, and contribute to R&D initiatives.
Provide clear documentation, participate in code reviews, and support MLOps and data engineering tasks (SQL, deployment, monitoring).
Develop and optimize end-to-end systems on Google Cloud with LLMs (GPT, Gemini, LLaMA) and tooling like LangChain and LlamaIndex.
Implement best practices in Retrieval Augmented Generation (RAG) and vector databases (Pinecone, ChromaDB, pgvector) for fast, accurate results.
Collaborate with customers to capture requirements, propose features, and translate them into production-ready capabilities with a strong focus on quality.
Experiment with fine-tuning of LLMs and embedding models, build ML pipelines, and contribute to R&D initiatives.
Provide clear documentation, participate in code reviews, and support MLOps and data engineering tasks (SQL, deployment, monitoring).
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