3 of 3 Pinecone Jobs in the Midlands

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 ...

LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar. Optimize prompt strategies, memory, tools, and policies. RAG & vector search: Architect robust RAG pipelines with vector DBs (Pinecone, Chroma, Weaviate, pgvector), including chunking, hybrid search, embeddings selection, caching, and evaluation. Guardrails & observability: Implement policy/guardrails, safety filters, prompt/content validation … expertise with LLM orchestration frameworks (e.g.,LangChain/LangGraph/LlamaIndex/Semantic Kernel). Proven experience with RAG and vector databases (e.g., Pinecone, Chroma, Weaviate, pgvector). Proficiency in Python (primary) and at least one of JavaScript/TypeScript or Java. Solid foundation in cloud (AWS/GCP/ ...

LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar. Optimize prompt strategies, memory, tools, and policies. RAG & vector search: Architect robust RAG pipelines with vector DBs (Pinecone, Chroma, Weaviate, pgvector), including chunking, hybrid search, embeddings selection, caching, and evaluation. Guardrails & observability: Implement policy/guardrails, safety filters, prompt/content validation … expertise with LLM orchestration frameworks (e.g.,LangChain/LangGraph/LlamaIndex/Semantic Kernel). Proven experience with RAG and vector databases (e.g., Pinecone, Chroma, Weaviate, pgvector). Proficiency in Python (primary) and at least one of JavaScript/TypeScript or Java. Solid foundation in cloud (AWS/GCP/ ...