Visor.ai

AI Engineer

• Design and develop end-to-end NLP pipelines — from classical text processing to state-of-the-art LLM-powered architectures
• Build and maintain systems for intent detection, NER, entity extraction, and text classification, both standalone and as components feeding into larger LLM workflows
• Design and optimize Retrieval-Augmented Generation (RAG) systems — chunking strategies, vector store architecture, hybrid search (dense + sparse), and re-ranking pipelines
• Work with embedding models for semantic search, document retrieval, and intent classification in contact center contexts
• Design and implement agentic architectures — tool use, function calling, multi-step reasoning, and orchestration with frameworks like LangChain, LlamaIndex, or custom-built solutions
• Develop memory and context management strategies — short-term conversation memory, long-term user context, and context window optimization for multi-turn interactions
• Evaluate and benchmark models rigorously: hallucination detection, faithfulness scoring, latency/token cost tradeoffs, and continuous performance monitoring
• Integrate AI components into scalable, production-ready microservices with a focus on low-latency inference pipelines
• Collaborate with product and engineering to design new AI-powered features and drive innovation across the platform