Vector Databases Jobs in Palmdale, CA (NOW HIRING)

... vector databases • Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain or LangGraph • Integrate AI systems with APIs, backend services, and cloud ...

Implement vector search solutions using vector databases or MongoDB * Ensure CI/CD integration and cloud deployment (Azure preferred) * Establish observability, monitoring, and evaluation frameworks ...

Implement vector search solutions using vector databases or MongoDB * Ensure CI/CD integration and cloud deployment (Azure preferred) * Establish observability, monitoring, and evaluation frameworks ...

Develop and implement strategies for using vector databases and graph databases (e.g., Neo4j, Amazon Neptune, Qdrant, or similar) to enable powerful LLM-augmented search and reasoning over highly ...

Develop and implement strategies for using vector databases and graph databases (e.g., Neo4j, Amazon Neptune, Qdrant, or similar) to enable powerful LLM-augmented search and reasoning over highly ...

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 ...

Experience optimizing large scale vector databases Compensation Range: $155K - $190K

Experience with graph OR vector databases, semantic retrieval, retrieval-augmented generation (RAG,) or agentic AI use cases. * Strong experience designing conceptual, logical, and physical data ...

Practical experience with prompt engineering, RAG, embeddings, vector databases, LLM orchestration frameworks, agentic workflows, evaluation frameworks, and hallucination mitigation. * Ability to ...

You will apply leading GenAI frameworks and LLM platforms - including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases-while operating across the full Agentic SDLC. P&C Insurance ...

You will apply leading GenAI frameworks and LLM platforms -- including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases--while operating across the full Agentic SDLC. P&C Insurance ...

Hands-on fine-tuning of foundation models; comfort with MLflow, Ray/KubeRay, and vector databases. * Deep familiarity with cloud warehouses (BigQuery, Redshift), lake formats (Parquet, Avro), and ...

Hands-on fine-tuning of foundation models; comfort with MLflow, Ray/KubeRay, and vector databases. * Deep familiarity with cloud warehouses (BigQuery, Redshift), lake formats (Parquet, Avro), and ...

RAG pipelines, vector databases (such as Pinecone, Weaviate, Chroma, or equivalent), embedding systems, or semantic search. * Hands-on MLOps experience: owning the full lifecycle of ML models from ...

Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. * Lead LLM fine-tuning and ...

Deep expertise in RAG architectures, embedding strategies, vector databases, and retrieval optimization. Strong experience designing multi-agent orchestration frameworks and workflow engines.

Experience with vector databases or retrieval systems at scale * Experience with managed ML services on AWS (SageMaker) and/or GCP (Vertex AI) * Annotation workflow experience (Label Studio, Scale AI ...

Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. * Lead LLM fine-tuning and ...

Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. * Lead LLM fine-tuning and ...

Deep expertise in RAG architectures, embedding strategies, vector databases, and retrieval optimization. Strong experience designing multi-agent orchestration frameworks and workflow engines.