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.

Hands‑on production experience with Milvus and/or Qdrant vector databases * Demonstrated expertise in RAG (Retrieval Augmented Generation) architectures and LangChain integration * Deep knowledge ...

RAG architectures and vector databases (Pinecone, Weaviate, Qdrant, Chroma, Milvus) * Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) * Knowledge of APIs, distributed systems ...

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

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 ...

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 ...

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:

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:

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

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

Candidate brings deep expertise in vector databases (Milvus, Qdrant, and other vectorized databases as they emerge), RAG architectures, and LangChain integrations, combined with broad experience in ...

... Qdrant, Pinecone, Weaviate, OpenSearch, or pgvector), retrieval, and re-ranking -- including measuring and improving retrieval quality. • Demonstrated experience leading agentic workflows in ...

Candidate brings deep expertise in vector databases (Milvus, Qdrant, and other vectorized databases as they emerge), RAG architectures, and LangChain integrations, combined with broad experience in ...

Hands-on AI/ML data infrastructure experience: vector databases (pgvector, Pinecone, Weaviate, Qdrant), embedding pipelines, retrieval patterns. You have shipped a RAG system that worked and you know ...