RAG Engineer

Job Description

Build and optimize Retrieval-Augmented Generation (RAG) systems that combine information retrieval with large language models for enhanced AI applications.

Requirements

• 2-5 years of experience in NLP, ML, or AI engineering
• Strong understanding of RAG architecture and vector databases
• Proficiency in Python and LLM frameworks (LangChain, LlamaIndex)
• Experience with embeddings, vector search, and semantic retrieval
• Knowledge of document processing and information retrieval systems

What We Offer

• Competitive salary and benefits package
• Flexible working hours and remote work options
• Professional development and training opportunities
• Health insurance and other employee benefits
• Collaborative and innovative work environment