About this role
Work with LLMs such as GPT, Llama, Gemini, and other open-source or commercial models. Develop and optimize prompts to improve model accuracy and response quality. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models. Implement NLP techniques for text processing, summarization, classification, and information extraction. Integrate LLMs with applications using APIs and frameworks such as LangChain or LlamaIndex. Work with vector databases such as FAISS…
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.