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About
Architect and design end-to-end Generative AI solutions leveraging Large Language Models and modern AI frameworks Build and guide development of LLM applications, intelligent assistants, and AI copilots using orchestration frameworks Define architectures for vector search, embeddings, and semantic retrieval pipelines that support scalable knowledge discovery
Required Qualifications:
Proven experience designing LLM-powered applications and Generative AI solutions Strong expertise in Retrieval-Augmented Generation (RAG) architectures, embeddings, and vector search Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph Experience designing AI solutions within the Google Cloud Platform ecosystem Strong programming experience in Python and familiarity with modern ML frameworks
Languages
- English
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