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...
data warehouses and NoSQL databases. Exposure to LLM APIs (Anthropic, OpenAI) or Retrieval-Augmented Generation (RAG...
learning frameworks like TensorFlow or PyTorch. Experience with RAG (Retrieve, Analyze, Generate) models...
best practices in development and deployment Desired Experience and Skills Experience with LLM-based solutions such as RAG...