Language Models) and Generative AI. Knowledge of vector databases (Pinecone, FAISS, etc.). Understanding of MLOps practices...
experience Vertex AI / Gemini expertise hands-on RAG architecture vector/embedding pipelines Lead the design, development... pipelines for preparing, processing, and embedding data for use in Vector Stores like Vertex AI Vector Search Develop...
), Retrieval-Augmented Generation (RAG) pipelines, agentic AI systems, vector databases, and multi-agent architectures. Research...
Language Models) and Generative AI. Knowledge of vector databases (Pinecone, FAISS, etc.). Understanding of MLOps practices...
: Python & Backend Development LLM / Generative AI Application Development Agent-Based AI Systems RAG / Vector DB..., vector search, embeddings) Architect and implement LLM orchestration layers supporting content ideation, drafting...
quality. Working knowledge of retrieval and generation concepts such as embeddings, chunking, semantic retrieval, vector...
, frameworks, and APIs such as ChatGPT, GitHub Copilot, LangChain, LangSmith, CrewAI, vector DBs, RAG frameworks, orchestration... systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools. building rapid prototypes, POCs...
Classic exposure and configuration workflows (Vector DaVinci or similar). MCU/platform experience: Infineon Traveo II...
solutions using BigQuery, Lakehouse, and Vector Databases. 4. AI Platform & MLOps Architecture Design scalable MLOps... collaboration patterns. 6. Data & RAG Architecture Design enterprise RAG pipelines using Vertex AI Vector DB, ChromaDB. Define...
, embeddings, reranking) Vector databases (Pinecone, Weaviate, Milvus, Chroma) Python backend engineering (FastAPI / Flask...