51 to 75 of 86 Permanent Pinecone Jobs

up. What You’ll Do Build scalable backend microservices in Python (FastAPI) to support RAG workflows and user queries Develop and optimise vector search pipelines using tools like PGVector, Pinecone, or Weaviate Design embedding orchestration and hybrid retrieval mechanisms Implement evaluation frameworks (BLEU, ROUGE, hallucination checks) to monitor answer quality Deploy production systems on GCP (Cloud Run, Vertex AI, BigQuery More ❯

up. What You’ll Do Build scalable backend microservices in Python (FastAPI) to support RAG workflows and user queries Develop and optimise vector search pipelines using tools like PGVector, Pinecone, or Weaviate Design embedding orchestration and hybrid retrieval mechanisms Implement evaluation frameworks (BLEU, ROUGE, hallucination checks) to monitor answer quality Deploy production systems on GCP (Cloud Run, Vertex AI, BigQuery More ❯

or other graph databases, including Cypher or GraphQL . Strong coding skills in Python and experience with NLP frameworks (e.g., LangChain, LlamaIndex, RAG). Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate). Ability to design scalable architectures for knowledge-based systems. Experience in REST & GraphQL API development for chatbot integration. European Union Citizenship or Portuguese Working Visa/Portuguese More ❯

developer tools, open-source culture, and improving developer workflows. Excellent communication and collaboration skills in a remote-first environment. Experience contributing to open-source AI projects. Experience with LangChain, Pinecone, or similar AI frameworks/infrastructure. Past experience building AI features into developer platforms or tools. Benefits Our entire company is distributed, so we take remote work seriously. If you More ❯

Data Factory, Azure Synapse, and Azure Functions. Implementing modern retrieval techniques such as vector search, semantic search and Retrieval-Augmented Generation (RAG) using tools like Azure Cognitive Search, FAISS, Pinecone, or Weaviate. Familiarity with data governance, privacy, and ethical AI principles. Experience with DevOps tools and practices, including CI/CD pipelines, infrastructure as code and monitoring. Applied knowledge of More ❯

machine learning fundamentals , including supervised/unsupervised learning. Experience with cloud environments – ideally Azure , but AWS or GCP also considered. Familiarity with LLMs , prompt engineering , and vector databases (e.g. Pinecone, FAISS). Practical experience building production-ready AI applications. Ability to work on-site in Newcastle in a collaborative, agile environment. A curious mindset, eagerness to learn, and a genuine More ❯

NestJS) Designing secure, scalable database structures in PostgreSQL with Redis caching Implementing event-driven architectures using Kafka or RabbitMQ Integrating with OpenAI, Anthropic, and vector DBs like pgvector or Pinecone Managing infrastructure using Docker , Kubernetes , and CI/CD pipelines Leading conversations on architecture, performance, and scalability Shipping work that’s immediately valuable to real customers Competitive pay + revenue More ❯

NestJS) Designing secure, scalable database structures in PostgreSQL with Redis caching Implementing event-driven architectures using Kafka or RabbitMQ Integrating with OpenAI, Anthropic, and vector DBs like pgvector or Pinecone Managing infrastructure using Docker , Kubernetes , and CI/CD pipelines Leading conversations on architecture, performance, and scalability Shipping work that’s immediately valuable to real customers Competitive pay + revenue More ❯

ready to justify your pick. •⁠ ⁠Experience extending an *AWS stack (Terraform, ECS Fargate, ALB, Secrets Manager, KMS)*. •⁠ ⁠Hands-on with *LLM APIs* and at least one *vector database* (Pinecone, Weaviate, OpenSearch, etc.). •⁠ ⁠Multi-tenant data design with GDPR awareness. •⁠ ⁠CI/CD and automated-testing mindset. Nice-to-Haves •⁠ ⁠*Solution-architect background*—ability to map future services and More ❯

building complex architectures from MVP to production Solid hands-on experience with AI/LLM applications and model deployment Comfortable across front-end (HTML, CSS, Tailwind) and back-end (Pinecone, microservices, serverless) Brownie points: SEO know-how Deeper AI/ML chops (Colab, Streamlit, FastAPI, PyTorch, etc.) Entrepreneurial streak and previous startup exposure Ability to pivot quickly and learn on More ❯

Agentic AI Engineer, you will: Build fast, iterative prototypes using LLMs and agent frameworks Design and implement agent workflows, memory handling, RAG systems, and semantic search Integrate vector DBs (Pinecone, FAISS, Chroma), cloud AI services, and APIs Develop lightweight UIs (Streamlit, Gradio, React) and observability for demos Work hands-on with prompt engineering, guardrails, and AI safety tools Requirements: Strong More ❯

Agentic AI Engineer, you will: Build fast, iterative prototypes using LLMs and agent frameworks Design and implement agent workflows, memory handling, RAG systems, and semantic search Integrate vector DBs (Pinecone, FAISS, Chroma), cloud AI services, and APIs Develop lightweight UIs (Streamlit, Gradio, React) and observability for demos Work hands-on with prompt engineering, guardrails, and AI safety tools Requirements: Strong More ❯

Agentic AI Engineer, you will: Build fast, iterative prototypes using LLMs and agent frameworks Design and implement agent workflows, memory handling, RAG systems, and semantic search Integrate vector DBs (Pinecone, FAISS, Chroma), cloud AI services, and APIs Develop lightweight UIs (Streamlit, Gradio, React) and observability for demos Work hands-on with prompt engineering, guardrails, and AI safety tools Requirements: Strong More ❯

workflows. Strong experience in prompt engineering and chaining logic for AI-based tasks. Background in backend engineering (Python, NodeJS, or similar). Familiarity with tools like LangChain, OpenAI API, Pinecone, or similar . A problem-solver mindset—focused on delivering tangible outcomes using AI. Comfortable working in a fast-paced, agile environment. Excellent communication and collaboration skills. Nice to Have More ❯

workflows. Strong experience in prompt engineering and chaining logic for AI-based tasks. Background in backend engineering (Python, NodeJS, or similar). Familiarity with tools like LangChain, OpenAI API, Pinecone, or similar . A problem-solver mindset-focused on delivering tangible outcomes using AI. Comfortable working in a fast-paced, agile environment. Excellent communication and collaboration skills. Nice to Have More ❯

take on real ownership Bonus: interest in health, wellness, or personal development Desired Tech Stack · Flutter/React Native · Provider/Riverpod · LLM integration (OpenAI/Gemini/Claude) · Pinecone · Firebase · E-commerce (Stripe) What You’ll Get Paid contract for 3 months (with flexibility around studies or other work) Full ownership of building the app alongside a mission-led More ❯

take on real ownership Bonus: interest in health, wellness, or personal development Desired Tech Stack · Flutter/React Native · Provider/Riverpod · LLM integration (OpenAI/Gemini/Claude) · Pinecone · Firebase · E-commerce (Stripe) What You’ll Get Paid contract for 3 months (with flexibility around studies or other work) Full ownership of building the app alongside a mission-led More ❯

Bonus Points For: Experience in healthcare or healthtech Proficiency in Python Familiarity with neural networks or broader ML techniques The Stack: Python-centric LLM tools and frameworks (e.g., LangChain, Pinecone, etc.) Custom GenAI integrations Benefits: Competitive compensation package Equity in a fast-growing company Full health benefits Strong in-person team culture at their SF headquarters Career growth in a More ❯

tinkering Love customer interaction and building solutions that matter Embrace a fast-paced, collaborative startup environment Tech Environment Flexible stack, often Python-heavy Tools may include LangChain, LangSmith, OpenPipe, Pinecone, ChromaDB Why You'll Love It Work on high-impact AI projects that ship Learn rapidly across diverse real-world use cases Join a senior engineering team that values growth More ❯

tinkering Love customer interaction and building solutions that matter Embrace a fast-paced, collaborative startup environment Tech Environment Flexible stack, often Python-heavy Tools may include LangChain, LangSmith, OpenPipe, Pinecone, ChromaDB Why You'll Love It Work on high-impact AI projects that ship Learn rapidly across diverse real-world use cases Join a senior engineering team that values growth More ❯

tinkering Love customer interaction and building solutions that matter Embrace a fast-paced, collaborative startup environment Tech Environment Flexible stack, often Python-heavy Tools may include LangChain, LangSmith, OpenPipe, Pinecone, ChromaDB Why You'll Love It Work on high-impact AI projects that ship Learn rapidly across diverse real-world use cases Join a senior engineering team that values growth More ❯

tinkering Love customer interaction and building solutions that matter Embrace a fast-paced, collaborative startup environment Tech Environment Flexible stack, often Python-heavy Tools may include LangChain, LangSmith, OpenPipe, Pinecone, ChromaDB Why You'll Love It Work on high-impact AI projects that ship Learn rapidly across diverse real-world use cases Join a senior engineering team that values growth More ❯

tinkering Love customer interaction and building solutions that matter Embrace a fast-paced, collaborative startup environment Tech Environment Flexible stack, often Python-heavy Tools may include LangChain, LangSmith, OpenPipe, Pinecone, ChromaDB Why You'll Love It Work on high-impact AI projects that ship Learn rapidly across diverse real-world use cases Join a senior engineering team that values growth More ❯

tinkering Love customer interaction and building solutions that matter Embrace a fast-paced, collaborative startup environment Tech Environment Flexible stack, often Python-heavy Tools may include LangChain, LangSmith, OpenPipe, Pinecone, ChromaDB Why You'll Love It Work on high-impact AI projects that ship Learn rapidly across diverse real-world use cases Join a senior engineering team that values growth More ❯

tinkering Love customer interaction and building solutions that matter Embrace a fast-paced, collaborative startup environment Tech Environment Flexible stack, often Python-heavy Tools may include LangChain, LangSmith, OpenPipe, Pinecone, ChromaDB Why You'll Love It Work on high-impact AI projects that ship Learn rapidly across diverse real-world use cases Join a senior engineering team that values growth More ❯