13 of 13 Weaviate Jobs in the UK excluding London

Experience with one or more: OpenAI Azure OpenAI Anthropic Claude Google Gemini AWS Bedrock Hugging Face LangChain LangGraph Semantic Kernel AutoGen CrewAI LlamaIndex Pinecone Weaviate Milvus ChromaDB Cloud Platforms Commercial experience with one or more: AWS Microsoft Azure Google Cloud Platform (GCP) Enterprise Data Data Engineering Data Platforms ETL Vector ...

concepts, embeddings, transformers, and LLM architectures. Experience using LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar AI frameworks. Experience with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, ChromaDB, or equivalent. Experience with graph databases, knowledge graphs, or Graph APIs. Experience building data pipelines and integrating structured and unstructured data sources. ...

Hugging Face, including agentic and multi‐step workflows. Proven experience designing and implementing Retrieval‐Augmented Generation (RAG) systems, including vector databases (pgvector, Pinecone, Weaviate, FAISS, etc.) and advanced retrieval strategies (hybrid search, re‐ranking, metadata filtering). Strong understanding of prompt engineering, workflow design, and Gen‐AI optimization, balancing latency ...

LlamaIndex, and Hugging Face, including agentic and multi‐step workflowsProven experience designing and implementing Retrieval‐Augmented Generation (RAG) systems, including vector databases (pgvector, Pinecone, Weaviate, FAISS, etc.) and advanced retrieval strategies (hybrid search, re‐ranking, metadata filtering)Strong understanding of prompt engineering, workflow design, and Gen‐AI optimization, balancing latency ...

agent workflows and autonomous AI systems Knowledge of the Model Context Protocol (MCP) and AI integration patterns Experience with vector databases such as Pinecone, Weaviate, FAISS, or Azure AI Search Experience working with OpenAI and other leading foundation models Knowledge of real-time AI pipelines, including speech-to-text ...

quality assessment and cleansing methodologies Token optimization techniques for LLM-based agents Resource-constrained AI model deployment Vector databases and semantic search (e.g., Pinecone, Weaviate, Milvus, Qdrant , and ChromaDB ) Prompt engineering for efficient agent reasoning LLM fine-tuning and instruction optimization Graph databases for network topology and context management Feature ...

business logic to AI models in a standardized, secure wayExperience with databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Redis), and vector databases (Pinecone, ChromaDB, Weaviate, or Qdrant).Strong understanding of software architecture, design patterns, and API design.Soft skillsYou lead with ownership and direction. You’re comfortable taking accountability for outcomes, bringing ...

business logic to AI models in a standardized, secure wayExperience with databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Redis), and vector databases (Pinecone, ChromaDB, Weaviate, or Qdrant).Strong understanding of software architecture, design patterns, and API design.Soft skillsYou lead with ownership and direction. You’re comfortable taking accountability for outcomes, bringing ...

business logic to AI models in a standardized, secure wayExperience with databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Redis), and vector databases (Pinecone, ChromaDB, Weaviate, or Qdrant).Strong understanding of software architecture, design patterns, and API design.Soft skillsYou lead with ownership and direction. You’re comfortable taking accountability for outcomes, bringing ...

business logic to AI models in a standardized, secure wayExperience with databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Redis), and vector databases (Pinecone, ChromaDB, Weaviate, or Qdrant).Strong understanding of software architecture, design patterns, and API design.Soft skillsYou lead with ownership and direction. You’re comfortable taking accountability for outcomes, bringing ...

secrets management Pragmatic mindset with a strong sense of ownership Excellent communication and collaboration skills Nice-to-have MongoDB and OpenSearch Vector databases (Qdrant, Weaviate, Milvus, Pinecone, pgvector) OIDC or identity infrastructure Infisical, PostHog, Oh Dear, or similar tooling AI/LLM platform experience GDPR-conscious cloud environments Enterprise security ...

architectures that drive real value for the business. Core Stack Python: Expert level AI Frameworks: LangChain, CrewAI, AutoGPT-style frameworks Vector Databases: Pinecone, Milvus, Weaviate Architecture: LLM orchestration and tool-calling pipelines API Design: REST and GraphQL What Sets This Role Apart Deep Reasoning: Deep understanding of LLM reasoning loops. ...

model deployment pipelines, monitoring, versioning, and automated testing frameworks for AI applications Some other highly valued skills may include: Experience with vector stores (Pinecone, Weaviate, or AWS OpenSearch) and semantic search implementations for context-aware AI applications Experience building RESTful or GraphQL APIs and designing scalable, event-driven architectures ...