LLM Engineer

About the 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.

What you'll do

• 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

What you need

• Open to freshers
• LLMs
• Machine learning
• Python
• NLP
• Prompt engineering
• Deep learning
• Any graduate

Good to have

• AWS
• GCP
• Git
• Azure
• REST APIs