engineering and orchestration · Proven experience with RAG architectures, embeddings, and vector databases · Experience... workflows using Python · Design and implement RAG pipelines over enterprise data using embeddings and vector databases · Build...
services and APIs Strong RAG architecture knowledge, Embeddings, vector databases, semantic search, and grounded AI systems...
. Strong understanding of retrieval-augmented generation, embeddings, and vector databases. Experience designing evaluation pipelines...
, investment plans, and measurable outcomes Experience with AI architecture patterns (model hosting, vector search/RAG, data...
pipelines, Tekton , Git / GitHub Knowledge of RAG pipelines, Embeddings and vector search, LangChain / LangGraph, Kubernetes...
, embeddings, vector databases, orchestration frameworks, memory/state patterns, and tool-use architectures 1+ years experience...
. Strong understanding of retrieval-augmented generation, embeddings, and vector databases. Experience designing evaluation pipelines...
production data pipelines. Does not act as the primary technical owner for RAG frameworks, vector databases, or embedding...
mutagenesis Plasmid preparation and sequence verification Apply established design principles related to vector architecture..., and data quality Cell Biology & Analytical Assays Support lentiviral vector-based workflows for T cell engineering...
relational databases (PostgreSQL/RDS), vector databases (OpenSearch, Milvus, Amazon S3 Vectors), and knowledge graphs (Amazon... on AWS (S3, RDS, Athena, ElastiCache, Fargate) and relational databases (PostgreSQL), vector databases, or knowledge graphs...