, fallbacks, and error recovery for nonâ€deterministic workflows. Data/RAG Pipeline Design & Management Design and automate data... flow processes to support AI retrieval (RAG) and insights generation across core enterprise platforms. Create evaluation...
or supporting data architecture for GenAI, RAG, enterprise search, or agentic AI use cases in production environments. Familiarity...
(RAG), and production-grade deployment is required. Familiarity with AI safety, monitoring, and humanâ€inâ€theâ€loop systems...
AI workflows such as Retrieval-Augmented Generation (RAG), embedding pipelines, semantic search, and LLM-powered APIs. Implement...
, not just data sources. Build guardrails, fallbacks and error recovery for non-deterministic workflows. Data/RAG Pipeline...
interviews is a plus). Explore and apply emerging technologies related to AI, LLMs, RAG, and embeddings. Complete the code...-on experience with LLMs, RAG, embeddings, and AI-driven applications. Experience working on large-scale applications...
) is a plusGood level of Snowflake and DatabricksSuper plus Vertex AI and RAG understandingOur people and culture Our inclusive...
and transformations. - Bonus: experience with LLM prompt engineering, RAG, or related AI tools. Ideal traits: - Problem solver...
conversations about AI/ML concepts: LLMs, Gen AI, RAG, fineâ€tuning, model evaluation;data engineering: pipelines, ETL/ELT, data... or crossâ€cultural client engagements. Familiarity with AI concepts like Gen AI, LLMs, RAG, or automation workflows...
-Augmented Generation (RAG) pipelines, including document retrieval, embedding strategies, and LLM integration for knowledge...