Qdrant Jobs in Texas (NOW HIRING)

Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant. * AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

Experience with Vector Databases such as Qdrant, Pinecone, Weaviate, or pgvector. * Python development experience for AI workflows and automation. Technical Skills: * API Testing (REST/SOAP) * SQL ...

Milvus, Qdrant), or similarity match & ranking techniques Designed and optimized RESTful services Comfortable working within Linux/Unix environments

... Qdrant and/or Milvus)HNSW indexing parametersFiltering strategiesEmbedding pipelines (OpenAI ada-002 or equivalent)Batch embedding & re-indexing workflowsHybrid retrieval (BM25 + semantic)Score ...

Experience with vector databases such as Pinecone, Weaviate, or Qdrant for semantic search applications. Familiarity with GenAI orchestration frameworks, including LangChain, LlamaIndex, or similar ...

... Qdrant and/or Milvus)HNSW indexing parametersFiltering strategiesEmbedding pipelines (OpenAI ada-002 or equivalent)Batch embedding & re-indexing workflowsHybrid retrieval (BM25 + semantic)Score ...

Production experience deploying and managing vector databases (Milvus, Qdrant, or Weaviate) at scale Experience with PostgreSQL or MySQL in production environments Understanding of RAG pipelines ...

Azure AI Search, Pinecone, Qdrant, FAISS * Databases: SQL Server, Azure Cosmos DB, PostgreSQL * DevOps: GitHub Actions CI/CD, Docker, Kubernetes, Terraform * Observability: Azure Monitor, Prometheus ...

Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking & Embedding Strategies:

... databases (Qdrant and/or Milvus) HNSW indexing parameters Filtering strategies Embedding pipelines (OpenAI ada-002 or equivalent) Batch embedding & re-indexing workflows Hybrid retrieval (BM25 ...

Milvus, Qdrant), or similarity match & ranking techniques Designed and optimized RESTful services Comfortable working within Linux/Unix environments Minimum Qualifications Python programming ...

Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking & Embedding Strategies:

Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking & Embedding Strategies:

Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking & Embedding Strategies:

Milvus, Qdrant), or similarity match & ranking techniques Designed and optimized RESTful services Comfortable working within Linux/Unix environments Minimum Qualifications Python programming ...

Production experience deploying and managing vector databases (Milvus, Qdrant, or Weaviate) at scale Experience with PostgreSQL or MySQL in production environments Understanding of RAG pipelines ...

Production experience deploying and managing vector databases (Milvus, Qdrant, or Weaviate) at scale Experience with PostgreSQL or MySQL in production environments Understanding of RAG pipelines ...

Our Stack Python • TypeScript • Node.js • FastAPI • Postgres • Qdrant • LangGraph • Whisper • AWS (Lambda, EC2, ECS, S3) • Terraform • React • Next.js About the Role We're ...

Vector Databases, including Qdrant or equivalent (preferred) * Embedding pipeline experience including chunking strategies and retrieval tuning (preferred) * Services & Tools: * Gunicorn or Uvicorn

Familiarity with embedding-based retrieval and vector databases (Qdrant preferred) * Data Engineering & Infrastructure: * Experience with synthetic data generation for model and agent testing