Vector Databases Jobs in New York (NOW HIRING)

You will build pipelines that ingest petabyte-scale data into object storage and turn it into fast, queryable databases and vector stores, design large-scale storage and retrieval across hot and cold ...

You will work in close partnership with the Ontology/Semantic Librarian and Data Engineering teams to embed governance into semantic models, knowledge graphs, vector databases, and unified data ...

Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and vector databases. * Build conversational memory, session management, and context-aware ...

... of vector databases, semantic search, embeddings, and enterprise AI retrieval patterns. • Familiarity with AI orchestration frameworks and libraries such as LangChain, Semantic Kernel, AutoGen ...

Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs. Implement high‑availability, cost‑optimized compute and storage strategies for AI ...

Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and vector databases. * Build conversational memory, session management, and context-aware ...

LangChain, LangGraph, LlamaIndex, NLP models, RAG vector DBs, model deployment. • 7+ years database: Oracle SQL/PL-SQL, ER design, query optimization. • 7+ years microservices/web: REST APIs, MVC ...

Knowledge of SAP HANA Cloud, SAP Data Intelligence, SAP Analytics Cloud, vector databases, and knowledge graphs. * Understanding of Agent-to-Agent (A2A) communication and Model Context Protocol (MCP ...

LangChain, LangGraph, LlamaIndex, NLP models, RAG vector DBs, model deployment. • 7+ years database: Oracle SQL/PL-SQL, ER design, query optimization. • 7+ years microservices/web: REST APIs, MVC ...

Stay ahead of industry trends in Generative AI, LLMs, multimodal AI, LangChain, LangGraph, and vector databases . * Drive innovation by recommending new tools, frameworks, and approaches to maximize ...

Build hybrid retrieval systems combining Knowledge Graphs + vector databases * Integrate structured graph reasoning with LLMs to reduce hallucination and improve explain ability

Create and optimize RAG pipelines, including document ingestion, vector databases, retrieval strategies, and prompt engineering. * Evaluate LLM performance and implement monitoring, testing, and ...

Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 109,000 customers across ...

Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases * Optimize model performance, latency, and cost in production environments * Collaborate with data engineers, data ...

Build hybrid retrieval systems combining Knowledge Graphs + vector databases * Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability

... vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences. • Partner closely with Product, Engineering, and Risk teams to deliver ...

Built production systems using LLMs, vector databases, and retrieval pipelines. * Thrived in an early-stage startup. * U.S. Person status required. May involve export-controlled data. Bonus if you've.

Built production systems using LLMs, vector databases, and retrieval pipelines. * Thrived in an early-stage startup. * U.S. Person status required. May involve export-controlled data. Bonus if you've.

... vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences. • Partner closely with Product, Engineering, and Risk teams to deliver ...

Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases * Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex