Qdrant Jobs (NOW HIRING)

... Qdrant LLMOps MLOps (Good to Have) MLflow, Weights & Biases, BentoML, Airflow Complete -Good understanding about Contact Center TechnologyCCT Concepts 7 years of experience in technical writing of ...

FAISS, Chroma, Pinecone, Qdrant * NLP (Good to Have): spaCy, NLTK, Sentence-Transformers * LLM Evaluation: TruLens, DeepEval, OpenAI Evals

Design and scale Retrieval-Augmented Generation (RAG) pipelines using vector databases (pgvector, Pinecone, Weaviate, Qdrant), hybrid search, reranking, and domain-specific chunking strategies. * GCP ...

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

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

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

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)

Own the memory and data stores: relational and durable state (PostgreSQL, DBOS durable workflows), caching (Redis/Valkey), vector stores (Qdrant/Milvus/PGVector), knowledge graphs (Neo4j), and object ...

... 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 ...

Experience with vector databases such as Pinecone, Weaviate, Qdrant, Milvus, or pgvector. * Experience building AI agents and multi-agent systems . * Experience with LLM evaluation and observability ...

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 ...

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)

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

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

Qdrant, pgvector, Pinecone) to ground agent outputs in trusted data. * Instrument agents for evaluation and observability so their outputs can be verified, measured, and audited. * Apply AI-specific ...

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 ...

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 ...

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