51 to 75 of 95 Pinecone Jobs

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 ❯

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 ❯

up infrastructure using containers, APIs and serverless components Preprocess, chunk and structure unstructured data for optimal use in prompts and context injection Configure and manage vector databases such as Pinecone or Azure AI Search Implement retrieval-augmented generation flows using vector databases and embedding models Develop orchestration logic for multi-step agents and tool-using language models Monitor system performance More ❯

production Hands-on experience with frameworks like LangChain, LangGraph, or custom-built agent orchestration setups Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, etc.), embedding stores, retrieval pipelines (e.g. Weaviate, Pinecone), and eval tooling Comfort building and testing AI workflows that interact with external APIs, file systems, simulations, and toolchains Bonus: interest or experience in robotics, mechanical/aerospace workflows, or More ❯

production Hands-on experience with frameworks like LangChain, LangGraph, or custom-built agent orchestration setups Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, etc.), embedding stores, retrieval pipelines (e.g. Weaviate, Pinecone), and eval tooling Comfort building and testing AI workflows that interact with external APIs, file systems, simulations, and toolchains Bonus: interest or experience in robotics, mechanical/aerospace workflows, or More ❯

production Hands-on experience with frameworks like LangChain, LangGraph, or custom-built agent orchestration setups Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, etc.), embedding stores, retrieval pipelines (e.g. Weaviate, Pinecone), and eval tooling Comfort building and testing AI workflows that interact with external APIs, file systems, simulations, and toolchains Bonus: interest or experience in robotics, mechanical/aerospace workflows, or More ❯

based architectures such as GPT, BERT, or T5. Experience training and fine-tuning smaller deep learning models for NLP and computer vision tasks. Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate) and their use in AI-driven retrieval systems. Familiarity with anomaly detection techniques using deep learning and traditional ML approaches. Experience working with large-scale data processing frameworks (e.g. More ❯

large-scale infrastructure, and modern backend development using Java, Python, Golang, Spring Boot, Flask, and Kubernetes. We focus on integrating RAG-powered LLMs, implementing advanced vector search (FAISS, Milvus, Pinecone), and building scalable and high-performance AI-driven solutions. You Might Be a Good Fit If You: Have deep hands-on software engineering expertise in Java or Python Thrive in … applications using Java, Python, and modern backend frameworks Integrate LLMs into enterprise-scale systems using internal frameworks and libraries Design and implement vector search solutions using FAISS, Milvus, and Pinecone Build scalable APIs and backend services using Spring Boot, Flask, and FastAPI Optimize data storage and retrieval with PostgreSQL/MongoDB and distributed databases Deploy and manage cloud-native applications … Succeed in This Role: Proficiency in Java or Python for backend development Strong knowledge of Spring Boot, Flask, FastAPI, and API design Experience with vector search frameworks (FAISS, Milvus, Pinecone) Expertise in Kubernetes and Docker for scalable deployment Understanding of authentication & security frameworks (Spring Security, SSO) Hands-on experience with PostgreSQL and distributed storage Experience with Maven or Gradle for More ❯

and AI agents 💡 Build APIs, data pipelines, and backend components (mainly Python, FastAPI/Flask) 💡 Deploy microservice-friendly solutions, often in containerised setups (e.g. Docker) 💡 Work with ElasticSearch, Weaviate, Pinecone, and similar tools for vector search 💡 Solve problems, learn fast, and help us push the boundaries What we’re looking for: ✅ Enthusiasm and drive to learn — more important than being 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 ❯

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 ❯

creativity, and building innovative AI-driven products Comfortable working in an agile, fast-paced startup environment DESIRABLE SKILLS Experience with media processing tools (FFmpeg, WebRTC) Familiarity with vector databases (Pinecone, Weaviate) and embedding workflows Background in generative audio/video models or multimodal AI systems HOW TO APPLY Please register your interest by sending your CV and portfolio via the More ❯

varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate More ❯

varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate More ❯

varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate More ❯

creativity, and building innovative AI-driven products Comfortable working in an agile, fast-paced startup environment DESIRABLE SKILLS Experience with media processing tools (FFmpeg, WebRTC) Familiarity with vector databases (Pinecone, Weaviate) and embedding workflows Background in generative audio/video models or multimodal AI systems HOW TO APPLY Please register your interest by sending your CV and portfolio via the 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 ❯

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 ❯

building and testing new functionality, troubleshooting customer issues, finding root causes, and developing improvements to ensure maximal user impact and performance. Our RAG system is based on Python and Pinecone and we have deployed a set of open source models. We interact with our code and data traceability graph through our main application stack which is currently based on Next.js … with and foundational understanding of LLMs (especially open source models), including production deployment Experience with and foundational understanding of non-LLM AI, including production deployment Experience with RAG systems (Pinecone or similar) Strong interest in programming languages, parsing algorithms, interpreters, and compilers Extensive experience in Python, Pandas, and at least one other programming language Experience with and clear understanding of More ❯

building and testing new functionality, troubleshooting customer issues, finding root causes, and developing improvements to ensure maximal user impact and performance. Our RAG system is based on Python and Pinecone and we have deployed a set of open-source models. We interact with our code and data traceability graph through our main application stack which is currently based on Next.js … with and foundational understanding of LLMs (especially open source models), including production deployment Experience with and foundational understanding of non-LLM AI, including production deployment Experience with RAG systems (Pinecone or similar) Strong interest in programming languages, parsing algorithms, interpreters, and compilers Extensive experience in Python, Pandas, and at least one other programming language Experience with and clear understanding of More ❯

building and testing new functionality, troubleshooting customer issues, finding root causes, and developing improvements to ensure maximal user impact and performance. Our RAG system is based on Python and Pinecone and we have deployed a set of open-source models. We interact with our code and data traceability graph through our main application stack which is currently based on Next.js … with and foundational understanding of LLMs (especially open source models), including production deployment Experience with and foundational understanding of non-LLM AI, including production deployment Experience with RAG systems (Pinecone or similar) Strong interest in programming languages, parsing algorithms, interpreters, and compilers Extensive experience in Python, Pandas, and at least one other programming language Experience with and clear understanding of More ❯

building and testing new functionality, troubleshooting customer issues, finding root causes, and developing improvements to ensure maximal user impact and performance. Our RAG system is based on Python and Pinecone and we have deployed a set of open-source models. We interact with our code and data traceability graph through our main application stack which is currently based on Next.js … with and foundational understanding of LLMs (especially open source models), including production deployment Experience with and foundational understanding of non-LLM AI, including production deployment Experience with RAG systems (Pinecone or similar) Strong interest in programming languages, parsing algorithms, interpreters, and compilers Extensive experience in Python, Pandas, and at least one other programming language Experience with and clear understanding of More ❯

building and testing new functionality, troubleshooting customer issues, finding root causes, and developing improvements to ensure maximal user impact and performance. Our RAG system is based on Python and Pinecone and we have deployed a set of open-source models. We interact with our code and data traceability graph through our main application stack which is currently based on Next.js … with and foundational understanding of LLMs (especially open source models), including production deployment Experience with and foundational understanding of non-LLM AI, including production deployment Experience with RAG systems (Pinecone or similar) Strong interest in programming languages, parsing algorithms, interpreters, and compilers Extensive experience in Python, Pandas, and at least one other programming language Experience with and clear understanding of 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 ❯