1 to 25 of 70 Pinecone Jobs in the UK

Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including ...

Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including ...

unsupervised) MLOps/LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ ...

when non-AI approaches are more suitable Desirable Experience Advanced LLM techniques, including agents, tool use and agentic workflows Experience with vector databases (e.g. Pinecone, Weaviate, pgvector) Feature store technologies such as Feast or AWS Feature Store Containerisation and orchestration using Docker, Kubernetes or ECS Infrastructure as Code using Terraform ...

Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise data MLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias ...

Claude, and Gemini . Implement RAG Pipelines Support the design and delivery of Retrieval-Augmented Generation (RAG) solutions using vector databases such as Pinecone or Weaviate . Develop Production-Ready Services Write clean, maintainable code in Python and/or JavaScript , contributing to microservices and APIs that meet performance, security ...

findings clearly. Eligible for DV security clearance; no sponsorship provided. Desirable: Advanced LLM techniques: agents, tool use, and agentic workflows. Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications. Experience with feature stores (Feast, AWS Feature Store). Containerisation (Docker) and orchestration (Kubernetes, ECS). Infrastructure as Code (Terraform ...

agent orchestration, memory, evaluation, and observability. Pioneer RAG & Multi-Modal Solutions Implement advanced Retrieval-Augmented Generation (RAG) pipelines using vector databases such as Pinecone and Weaviate . Build multi-modal workflows spanning text, voice, and video, with a strong focus on accuracy, explainability, and performance. Design data ingestion and enrichment ...

experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ ...

These, But If Not Well Help You With Them Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure ...

Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...