Role : Data Scientist
Exp : 5+ years,
Skills : RAG architecture, API integrations, LLM Ops tools, R& D applications.
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.