About the role
Data Scientist :
Required Technical Skills
• Strong expertise in Large Language Models (LLMs) and building scalable, production-grade applications using them.
• Hands-on experience designing and implementing Retrieval Augmented Generation (RAG) architectures.
• Experience building document ingestion and preprocessing pipelines for unstructured and semi-structured data.
• Expertise in defining effective chunking strategies to optimize retrieval quality and context relevance.
• Strong understanding of embeddings, vector representations, and vector search techniques.
• Experience implementing retrieval and reranking mechanisms to improve response accuracy.
• Familiarity with grounding and citation strategies to ensure reliable and explainable LLM outputs.
• Hands-on experience establishing evaluation frameworks to measure RAG quality and performance.
• Experience building tool-using agents leveraging function calling and API integrations.
• Proven ability to design and implement multi-step agent workflows with safe and controlled execution patterns.