1 to 25 of 33 Pinecone Jobs in the UK

Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within ...

more of: Claude Code Anthropic APIs LangGraph LangChain CrewAI AutoGen LlamaIndex MCP (Model Context Protocol) Data & Infrastructure Experience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS. Knowledge of SQL and NoSQL databases. Experience integrating enterprise data sources and knowledge repositories. Cloud & DevOps Experience with AWS, Azure ...

Face, LangChain) Oversee integration of LLMs (OpenAI, Anthropic, Gemini, Mistral) via enterprise platforms (Azure OpenAI, Vertex AI) Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) Data & Engineering Excellence Lead the evolution of modern data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect ...

Role: Design and build end-to-end Gen AI pipelines using LLMs (Open AI, Azure Open AI, Anthropic) Develop RAG architectures with vector databases (Pinecone, FAISS, Azure AI Search) Optimize LLM outputs using prompt engineering, embeddings, and evaluation techniques Build AI solutions for document processing, compliance, and banking chatbots Develop ...

tuning and optimisation of AI models Model evaluation, monitoring and governance Technologies Python (essential) PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face Vector Databases (Pinecone, Weaviate, ChromaDB or similar) FastAPI REST APIs Cloud & Infrastructure AWS (essential) Bedrock SageMaker Lambda ECS/EKS API Gateway DynamoDB S3 CloudFormation or Terraform Data ...

Architect Strong expertise in: Generative AI & LLMs, RAG (Retrieval-Augmented Generation), Agentic AI frameworks Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral), Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading ...

working in cloud environments (AWS, Azure, GCP, or Databricks) Familiarity with CI/CD pipelines and modern engineering practices Experience with vector databases (e.g. Pinecone, Chroma) Experience with agent frameworks (e.g. LangChain, LangGraph, or similar) Understanding of AI evaluation frameworks and production readiness Experience working in Agile delivery environments (Agile ...

experience with AI system design, architecture, and distributed systems Expertise in API-based backend development (e.g. FastAPI or similar) Experience with vector databases (e.g. Pinecone, Chroma) Experience with agent frameworks (e.g. LangChain, LangGraph, or similar) Strong understanding of evaluation frameworks for AI/agent systems Experience implementing CI/ ...

Time systems or high-frequency data processing Nice to Have Experience with LLM APIs (eg, OpenAI, open-source LLMs) Knowledge of vector databases (FAISS, Pinecone) Experience with Kubernetes and container orchestration Contributions to open-source or strong GitHub profile ...

frameworks (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face) Strong understanding of prompt engineering techniques and optimisation strategies Experience working with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) Practical experience with model evaluation, tuning, and performance optimisation Experience integrating AI solutions into APIs, microservices, and front-end applications Strong understanding ...

Microservices Architecture Cloud platforms – AWS, Azure, or GCP Preferred Agentic framework experience – LangChain, LangGraph, AutoGen, or similar RAG pipeline design and vector database experience (Pinecone, Weaviate, pgvector) Agile/SDLC tooling – Jira, Git, CI/CD pipelines #J-18808-Ljbffr ...

embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing ...

embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing ...

using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines Experience with production optimisation for RAG systems, including latency optimisation, token cost ...

/indexing, hybrid search, grounding and hallucination mitigation. Applied AI/ML: hands-on with LLMs, embeddings and vector databases (FAISS/Milvus/Pinecone). LLMOps & evaluation: prompt pipelines, automated/offline evaluation, safety/guardrails, telemetry, versioning and CI/CD for ML. Cloud engineering: Azure (preferred ...

architectures. Practical experience working with Claude, OpenAI APIs, and open-source LLMs . Deep understanding of RAG architectures , embeddings, and vector databases (eg Pinecone, Weaviate, OpenSearch, FAISS). Demonstrable experience defining and applying AI governance and responsible AI frameworks . Strong knowledge of LLMOps , CI/CD for models, monitoring ...

applications Knowledge of multi-agent architectures and agent orchestration Familiarity with AI evaluation and benchmarking Databases MongoDB SQL databases AI & Development Stack LangChain LangGraph Pinecone GitHub Cloud & Infrastructure Microsoft Azure Google Cloud Platform (GCP) Backend & Frontend FastAPI NodeJS ReactJS Preferred Qualifications Strong knowledge and passion for football (soccer) Experience working ...

pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI) Knowledge of SLM Finetuning and Distillation is big advantage. Experience ...

just experimentation Nice to have: Experience with AWS, Azure, or GCP Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar Experience with Pinecone, Weaviate, Qdrant, Chroma, pgvector, or similar Experience with document processing, OCR, structured extraction, or enterprise search Experience in consulting, enterprise delivery, SaaS, or startup environments About ...

workflows Designing and maintaining backend services and APIs (primarily Python, FastAPI/Flask) Building and scaling data pipelines and search systems using: ElasticSearch, Weaviate, Pinecone, and other vector databases Engineering secure, containerised architectures using Docker and Kubernetes Ensuring high availability, fault tolerance, and performance for mission-critical workloads Providing technical ...

leveraging AI/GAI technologies and large language models (LLMs) Advanced AI Integration : Apply experience with retrieval-augmented generation (RAG), vector databases (e.g. Pinecone, Weaviate, FAISS), and enterprise search for AI-driven knowledge discovery Optimize AI Performance : Utilize practical experience designing structured prompts, fine-tuning models, and cost optimization strategies ...

Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field Hands-on experience with cloud-native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Experience with A/B testing and experimentation frameworks for AI features ...

MongoDB/DynamoDB) Experience with CI/CD, microservices, TDD/BDD. Knowledge of secure system design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity ...

development and modern software architecture • Understanding of prompt design and managing AI-generated outputs • Ideally have experience in RAG pipelines and vector databases (e.g. Pinecone, Weaviate, pgvector) • Familiarity with cloud platforms is advantageous (AWS, Azure or GCP) • A proactive mindset with the ability to work effectively in a collaborative team ...

architectures (graph‐augmented retrieval for grounded generation); Semantic layer and business intelligence platforms (Looker, dbt Semantic Layer, AtScale); Vector databases and hybrid retrieval (Qdrant, Pinecone, pgvector, AlloyDB vector search); Cloud data platforms at scale (BigQuery, Snowflake, Databricks, Spanner); Data cataloging and governance (Google Knowledge Catalog/Dataplex, Collibra, Alation, Atlan ...