Qdrant Jobs (NOW HIRING)

... as Qdrant, Chroma, Milvus, or pgvector Proven implementation of Retrieval-Augmented Generation (RAG) pipelines Experience generating and managing embeddings and metadata filtering Security ...

Direct experience engineering production-grade RAG architectures, embeddings, semantic search, and local vector databases (e.g., FAISS, Qdrant, Milvus, Chroma) * Containerization and Compute ...

... Qdrant, Weaviate). * Experience with LLM gateway tools such as LiteLLM.

Practical experience with open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector * Proven implementation of Retrieval-Augmented Generation (RAG) pipelines * Experience generating ...

Pinecone, Weaviate, Milvus, Qdrant Search: Elasticsearch / OpenSearch Programming: Python, Java (preferred) Data formats: SQL, JSON, XML, CSV Integration: REST APIs, ETL tools, Apache NiFi, Airflow ...

Design and deploy on-prem AI infrastructure - including GPU clusters, model serving (e.g., vLLM, TGI, Triton), vector DBs (e.g., Milvus, Qdrant, FAISS), and orchestration (Kubernetes, Helm, Docker)

We use LlamaIndex and Qdrant today; we will evolve the stack as needed. * LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense. * Evaluation pipelines: how ...

Weaviate, Qdrant, FAISS, Pinecone, Chroma * Graph Knowledge Systems : Neo4j, Puppygraph, RDF, Gremlin, JSON-LD * Storage & Access : Iceberg, DuckDB, Postgres, Parquet, Delta Lake * Evaluation

Design and deploy on-prem AI infrastructure - including GPU clusters, model serving (e.g., vLLM, TGI, Triton), vector DBs (e.g., Milvus, Qdrant, FAISS), and orchestration (Kubernetes, Helm, Docker)

Architect, manage, and scale vector search infrastructure (e.g., Pinecone, Milvus, Qdrant, Weaviate, pgvector) for high-performance semantic search and retrieval-augmented generation (RAG) pipelines.

We use LlamaIndex and Qdrant today; we will evolve the stack as needed. * LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense. * Evaluation pipelines: how ...

Technical Skillset Python, FastAPI OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini LangGraph, LangChain, LlamaIndex, CrewAI Pinecone, Qdrant, Weaviate, ChromaDB PostgreSQL, Redis, Neo4j Docker ...

Architect, manage, and scale vector search infrastructure (e.g., Pinecone, Milvus, Qdrant, Weaviate, pgvector) for high-performance semantic search and retrieval-augmented generation (RAG) pipelines.

Vector search systems (pgvector, Pinecone, Qdrant, Azure Cognitive Search) * Kubernetes/container orchestration * Security, governance, and compliance experience Why Join Us Work with cutting-edge AI ...

Pinecone, Weaviate, Milvus, Qdrant Search: Elasticsearch / OpenSearch Programming: Python, Java (preferred) Data formats: SQL, JSON, XML, CSV Integration: REST APIs, ETL tools, Apache NiFi, Airflow ...

Architect, manage, and scale vector search infrastructure (e.g., Pinecone, Milvus, Qdrant, Weaviate, pgvector) for high-performance semantic search and retrieval-augmented generation (RAG) pipelines.

Vector database: operate Pgvector (Cloud SQL) for POC and Qdrant on GKE for production-scale embedding storage; design index strategies (IVFFlat, HNSW) and manage ANN query latency SLAs * RAG data ...

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 ...

You will implement features within our Google Cloud Platform stack, leveraging Qdrant for content similarity and Post-training RL to optimize the "Lean-back" viewing experience. Why This Role Matters

You will implement features within our GCP stack, leveraging Qdrant for content similarity and Post-training RL to optimize the "Lean-back" viewing experience. Why This Role Matters * Modernizing ...