A leading AI cybersecurity company is looking for a Vector Database Engineer to design and maintain the semantic search infrastructure for its AI systems. This in-office position in North San Jose, CA, demands expertise in vector databases and programming skills. Responsibilities include managing embedding storage, implementing search pipelines, and optimizing indexing strategies. Experience with Kubernetes or cloud infrastructure is preferred, and a strong understanding of distributed systems is required. Join to contribute to cutting-edge AI solutions.
Qualifications
Experience with vector databases such as Milvus, Pinecone, or Weaviate.
Strong programming skills and experience with distributed systems.
Experience working with embeddings and semantic search systems.
Experience with Kubernetes or cloud infrastructure.
Responsibilities
Design and manage vector database infrastructure for large-scale embedding storage.
Optimize indexing strategies for large embedding dataset.
Integrate vector search with LLM-based systems.
Skills
Vector databases (Milvus, Pinecone, Weaviate)
Programming skills
Distributed systems
Embeddings
Semantic search systems
Kubernetes
Cloud infrastructure
Job description
A leading AI cybersecurity company is looking for a Vector Database Engineer to design and maintain the semantic search infrastructure for its AI systems. This in-office position in North San Jose, CA, demands expertise in vector databases and programming skills. Responsibilities include managing embedding storage, implementing search pipelines, and optimizing indexing strategies. Experience with Kubernetes or cloud infrastructure is preferred, and a strong understanding of distributed systems is required. Join to contribute to cutting-edge AI solutions.