Vector Databases Jobs in Redmond, WA (NOW HIRING)

... vector databases, and agent orchestration frameworks (LangGraph, CrewAI). - Understanding of enterprise security protocols: SSO (SAML/OIDC), RBAC, data privacy regulations. Required Execution & Soft ...

Build advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data synthesis

Build RAG pipelines using vector databases and enterprise data sources * Build machine learning models that automate their training, validation, monitoring, and retraining * Develop APIs and services ...

Design, develop, and oversee our enterprise search infrastructure, employing a mix of vector databases, full-text search engine, and relational database techniques. * Understand the user ...

Familiarity with vector databases, RAG architecture, or prompt engineering for processing technical documentation.

Familiarity with vector databases, RAG architecture, or prompt engineering for processing technical documentation

... servers, vector databases, and automation workflows. • Enable smooth data exchange between AI agents and enterprise systems like Salesforce, SAP, and Workday. • Identify and fix performance ...

... by vector databases. Our zero-distance innovation solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI ...

... and vector databases • Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions • Show a track record of driving organizational change through ...

Proven experience tuning search engines (Elasticsearch, Algolia, or OpenSearch) and familiarity with modern Vector databases (Pinecone). * Product Sense: You think in terms of user psychology and ...

Manage vector database infrastructure, embedding pipelines, and retrieval strategies to deliver accurate answers to operator queries * Implement human-in-the-loop decision workflows where agents ...

Manage vector database infrastructure, embedding pipelines, and retrieval strategies to deliver accurate answers to operator queries * Implement human-in-the-loop decision workflows where agents ...

Create scalable AI architectures integrating LLMs, vector databases, APIs, and enterprise systems. * Evaluate and optimize model performance, latency, accuracy, and cost. Backend & Platform ...

... vector databases, embeddings, or semantic search is a plus Company : Take the uncertainty out of smart contract deployments. Build confidence from the command line. Founded in , the company is ...

LLM's, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns. * Azure ML, AWS ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake * ELT/ELT/Pipeline Design, Data Modeling ...

Lead evaluation, selection, and adoption of graph technologies, semantic platforms, vector databases, and AI infrastructure required to support enterprise-scale workloads. * Define and drive the ...

LLM's, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns. * Azure ML, AWS ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake * ELT/ELT/Pipeline Design, Data Modeling ...

Familiarity with vector databases, embedding technologies, and high-throughput data processing pipelines. * Experience implementing MLOps practices, CI/CD pipelines, and cloud-based machine learning ...

Design and deploy stateful agentic infrastructure, including long-term memory management (RAG, vector databases), semantic routing, and custom internal tool integrations. * Collaborate with cross ...

Designed and implemented RAG solutions using embeddings, vector databases, and semantic search for enterprise or mission data. * Shipped AI applications with frameworks like LangChain, LangGraph ...