26 to 50 of 268 Pinecone Jobs

dialogue management. Prompt engineering and Retrieval-Augmented Generation (RAG) . Real-time data streaming platforms such as Kafka . Vector databases including Pinecone, Milvus or Qdrant . Model compression and optimisation techniques including INT8/FP4 quantisation, pruning and knowledge distillation . Deploying machine learning models to resource-constrained ...

Experience integrating with LLM APIs (OpenAI, Anthropic, or similar) in production Familiarity with one or more of: agent orchestration frameworks (LangGraph, LangChain), vector databases (Pinecone, Weaviate), or RAG architectures Experience with modern data infrastructure (Databricks, Snowflake, Airbyte, or similar) Experience with workflow automation platforms (n8n, Zapier, Temporal, or similar) Nice ...

Experience integrating with LLM APIs (OpenAI, Anthropic, or similar) in production Familiarity with one or more of: agent orchestration frameworks (LangGraph, LangChain), vector databases (Pinecone, Weaviate), or RAG architectures Experience with modern data infrastructure (Databricks, Snowflake, Airbyte, or similar) Experience with workflow automation platforms (n8n, Zapier, Temporal, or similar) Nice ...

manage infrastructure across AWS, GCP, or Azure using Docker and modern hosting platforms (Vercel, Netlify) Work with vector databases and data systems (PostgreSQL, Pinecone, Weaviate, FAISS) Collaborate with stakeholders and communicate complex concepts clearly Document solutions and enable clean handoff for internal teams Engagement Brief This consulting engagement is focused ...

manage infrastructure across AWS, GCP, or Azure using Docker and modern hosting platforms (Vercel, Netlify) Work with vector databases and data systems (PostgreSQL, Pinecone, Weaviate, FAISS) Collaborate with stakeholders and communicate complex concepts clearly Document solutions and enable clean handoff for internal teams Engagement Brief This consulting engagement is focused ...

GitLab, Jenkins, or similar. Familiarity with monitoring and observability tools for AI applications and services. Database Technologies Experience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions. Familiarity with NoSQL databases. Experience working with SQL databases, particularly PostgreSQL or equivalent. Version Control Strong experience using ...

manage infrastructure across AWS, GCP, or Azure using Docker and modern hosting platforms (Vercel, Netlify) Work with vector databases and data systems (PostgreSQL, Pinecone, Weaviate, FAISS) Collaborate with stakeholders and communicate complex concepts clearly Document solutions and enable clean handoff for internal teams Engagement Brief This consulting engagement is focused ...

platforms including GitHub, GitLab, Jenkins, or similar.Familiarity with monitoring and observability tools for AI applications and services.Database TechnologiesExperience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions.Familiarity with NoSQL databases.Experience working with SQL databases, particularly PostgreSQL or equivalent.Version ControlStrong experience using Git and modern version control ...

GitLab, Jenkins, or similar. Familiarity with monitoring and observability tools for AI applications and services. Database Technologies Experience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions. Familiarity with NoSQL databases. Experience working with SQL databases, particularly PostgreSQL or equivalent. Version Control Strong experience using ...

platforms including GitHub, GitLab, Jenkins, or similar.Familiarity with monitoring and observability tools for AI applications and services.Database TechnologiesExperience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions.Familiarity with NoSQL databases.Experience working with SQL databases, particularly PostgreSQL or equivalent.Version ControlStrong experience using Git and modern version control ...

platforms including GitHub, GitLab, Jenkins, or similar.Familiarity with monitoring and observability tools for AI applications and services.Database TechnologiesExperience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions.Familiarity with NoSQL databases.Experience working with SQL databases, particularly PostgreSQL or equivalent.Version ControlStrong experience using Git and modern version control ...

platforms including GitHub, GitLab, Jenkins, or similar.Familiarity with monitoring and observability tools for AI applications and services.Database TechnologiesExperience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions.Familiarity with NoSQL databases.Experience working with SQL databases, particularly PostgreSQL or equivalent.Version ControlStrong experience using Git and modern version control ...

GitLab, Jenkins, or similar. Familiarity with monitoring and observability tools for AI applications and services. Database Technologies Experience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions. Familiarity with NoSQL databases. Experience working with SQL databases, particularly PostgreSQL or equivalent. Version Control Strong experience using ...

Foundry or Microsoft Agent Framework Knowledge of MCP and A2A protocols for agent and tool interoperability Hands-on work with vector databases like Pinecone, Weaviate, Qdrant or pgvector Familiarity with distributed systems, workflow engines (Temporal, Airflow or Dagster) and event-driven architectures Experience with open-source LLMs or Small Language ...

vector databases, embeddings, and AI orchestration platforms. Hands-on experience with technologies such as OpenAI, Azure AI, Anthropic, Hugging Face, LangChain, LangGraph, Semantic Kernel, Pinecone, Weaviate, or equivalent platforms. Solid understanding of software architecture, cloud-native development, microservices, and scalable system design. Experience building and operating production applications in cloud ...

vector databases, embeddings, and AI orchestration platforms. Hands-on experience with technologies such as OpenAI, Azure AI, Anthropic, Hugging Face, LangChain, LangGraph, Semantic Kernel, Pinecone, Weaviate, or equivalent platforms. Solid understanding of software architecture, cloud-native development, microservices, and scalable system design. Experience building and operating production applications in cloud ...

dialogue management, prompt engineering, and Retrieval-Augmented Generation (RAG). Data Analytics: Familiarity with real-time data streaming (e.g., Kafka) and vector databases (e.g., Pinecone, Milvus, Qdrant). Quantization: Experience with model compression techniques like quantization (INT8/FP4), pruning, and distillation for edge deployment. #J-18808-Ljbffr ...

appropriately and recognising when non-AI approaches are more suitableDesirable ExperienceAdvanced LLM techniques, including agents, tool use and agentic workflowsExperience with vector databases (e.g. Pinecone, Weaviate, pgvector)Feature store technologies such as Feast or AWS Feature StoreContainerisation and orchestration using Docker, Kubernetes or ECSInfrastructure as Code using Terraform or CloudFormationLarge ...

REST/SDK — for use cases such as document extraction, policy summarisation, or intelligent routing. Build or consume vector-search capabilities (e.g., OpenSearch, Pinecone) for retrieval-augmented generation (RAG) patterns. Use AI coding assistants (Claude Code, GitHub Copilot, Cursor, etc.) fluently as part of your daily development workflow to raise ...

clients to enable tool connectivity, enterprise system integration, agent-to-tool communication, and reusable AI workflows. Build and manage vector database solutions using Pinecone, Weaviate, Milvus, FAISS, Chroma, OpenSearch Vector Engine, Azure AI Search, Vertex AI Vector Search, or pgvector. Deploy and optimize LLM/VLLM inference stacks using vLLM … experience with RAG architecture , including chunking strategies, embeddings, vector search, hybrid search, reranking, metadata filtering, and evaluation. Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, Chroma, Azure AI Search, OpenSearch, Vertex AI Vector Search, or pgvector. Knowledge of Graph RAG/knowledge graph solutions using Neo4j, Neptune, TigerGraph ...

clients to enable tool connectivity, enterprise system integration, agent-to-tool communication, and reusable AI workflows. Build and manage vector database solutions using Pinecone, Weaviate, Milvus, FAISS, Chroma, OpenSearch Vector Engine, Azure AI Search, Vertex AI Vector Search, or pgvector. Deploy and optimize LLM/VLLM inference stacks using vLLM … experience with RAG architecture , including chunking strategies, embeddings, vector search, hybrid search, reranking, metadata filtering, and evaluation. Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, Chroma, Azure AI Search, OpenSearch, Vertex AI Vector Search, or pgvector. Knowledge of Graph RAG/knowledge graph solutions using Neo4j, Neptune, TigerGraph ...

clients to enable tool connectivity, enterprise system integration, agent-to-tool communication, and reusable AI workflows. Build and manage vector database solutions using Pinecone, Weaviate, Milvus, FAISS, Chroma, OpenSearch Vector Engine, Azure AI Search, Vertex AI Vector Search, or pgvector. Deploy and optimize LLM/VLLM inference stacks using vLLM … experience with RAG architecture , including chunking strategies, embeddings, vector search, hybrid search, reranking, metadata filtering, and evaluation. Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, Chroma, Azure AI Search, OpenSearch, Vertex AI Vector Search, or pgvector. Knowledge of Graph RAG/knowledge graph solutions using Neo4j, Neptune, TigerGraph ...

clients to enable tool connectivity, enterprise system integration, agent-to-tool communication, and reusable AI workflows. Build and manage vector database solutions using Pinecone, Weaviate, Milvus, FAISS, Chroma, OpenSearch Vector Engine, Azure AI Search, Vertex AI Vector Search, or pgvector. Deploy and optimize LLM/VLLM inference stacks using vLLM … experience with RAG architecture , including chunking strategies, embeddings, vector search, hybrid search, reranking, metadata filtering, and evaluation. Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, Chroma, Azure AI Search, OpenSearch, Vertex AI Vector Search, or pgvector. Knowledge of Graph RAG/knowledge graph solutions using Neo4j, Neptune, TigerGraph ...

clients to enable tool connectivity, enterprise system integration, agent-to-tool communication, and reusable AI workflows. Build and manage vector database solutions using Pinecone, Weaviate, Milvus, FAISS, Chroma, OpenSearch Vector Engine, Azure AI Search, Vertex AI Vector Search, or pgvector. Deploy and optimize LLM/VLLM inference stacks using vLLM … experience with RAG architecture , including chunking strategies, embeddings, vector search, hybrid search, reranking, metadata filtering, and evaluation. Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, Chroma, Azure AI Search, OpenSearch, Vertex AI Vector Search, or pgvector. Knowledge of Graph RAG/knowledge graph solutions using Neo4j, Neptune, TigerGraph ...

clients to enable tool connectivity, enterprise system integration, agent-to-tool communication, and reusable AI workflows. Build and manage vector database solutions using Pinecone, Weaviate, Milvus, FAISS, Chroma, OpenSearch Vector Engine, Azure AI Search, Vertex AI Vector Search, or pgvector. Deploy and optimize LLM/VLLM inference stacks using vLLM … experience with RAG architecture , including chunking strategies, embeddings, vector search, hybrid search, reranking, metadata filtering, and evaluation. Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, Chroma, Azure AI Search, OpenSearch, Vertex AI Vector Search, or pgvector. Knowledge of Graph RAG/knowledge graph solutions using Neo4j, Neptune, TigerGraph ...