Job Description We are seeking a skilled Qdrant Developer with hands-on experience in vector databases and AI-powered search applications. The ideal... candidate should have experience designing, implementing, and optimizing vector search solutions using Qdrant for Retrieval...
motivated and experienced Senior Scientist High throughput automation to support our Viral Vector Process Development team... vector downstream processes. Working collaboratively with Process Development, Analytical Development, Data Science...
, LlamaIndex, DSPy, Gemini, Amazon Bedrock, Vertex AI, Claude, Vector Databases (Pinecone, Weaviate or equivalent), LangSmith...
CI/CD. Design and implement RAG (Retrieval Augmented Generation) pipelines and integrations with vector stores..., embeddings, vector indexing, retrieval strategies, re-ranking and context injection. Integrate and instrument LangChain...
orchestration Familiarity with RAG architectures, vector databases, and embedding-based retrieval Working knowledge of MLOps... concepts: model versioning, drift monitoring, pipeline orchestration Familiarity with RAG architectures, vector databases...
AI Architecture Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) AI Agent Architecture Vector...
for high-performance compute subsystems: systolic arrays, vector/tensor datapaths, on-chip memory, DMA engines, and control...
using embeddings, semantic search, vector databases, document chunking strategies, reranking, retrieval optimization... Generation (RAG), embeddings, semantic search, vector databases, Agentic AI, and enterprise Generative AI application development...
, or CrewAI. ML & Data Tools: Solid understanding of vector databases, embeddings, and data pipelines. Cloud Platforms...
and Generative AI solutions. Build and optimize RAG pipelines, embeddings, vector search, prompt engineering, and LLM-based.... Practical experience with Retrieval-Augmented Generation (RAG) architectures. Knowledge of LangChain, LlamaIndex, vector...