Senior LLM Engineer (RAG & AWS Bedrock)

📋 Description Design and implement Retrieval-Augmented Generation (RAG) architectures. Build AI-powered chatbot experiences using AWS Bedrock. Develop multi-source data ingestion and retrieval pipelines. Design and optimize embeddings and semantic search strategies. Build scalable vector search solutions for enterprise knowledge retrieval. Integrate structured and unstructured data sources into AI workflows. 🎯 Requirements 5+ years of professional software engineering experience. Strong Python development experience. Hands-on experience building Generative AI applications. Experience working with AWS cloud services. Strong understanding of Retrieval-Augmented Generation (RAG). Experience building scalable backend applications. 🎁 Benefits Home office Competitive compensation based on experience Career plans to allow for extensive growth in the company International Projects Keystone AI English Program (Technical and Conversational) Keystone AI Fitness with Total Pass