14 of 14 Remote/Hybrid Pinecone Jobs

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/ ...

Express) . Create front-end solutions using React, TypeScript , and modern frameworks like Next.js . Integrate LLMs (OpenAI, Anthropic, Mistral) and vector databases (ChromaDB, Pinecone). Deploy solutions on AWS/Azure using Docker, Kubernetes, and Terraform. Implement CI/CD pipelines and monitor LLM performance with tools like Langsmith ...

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 ...

experience with LangChain, LangGraph, and Indexify , with a deep understanding of RAG architectures . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with ...

similar foundation models - Prompt engineering and chain-of-thought reasoning RAG & Knowledge Systems: - Retrieval-Augmented Generation (RAG) pipeline implementation - Vector database experience (CockroachDB, Pinecone, or similar) - Embedding model selection and optimisation - Semantic search and similarity matching - Context window management and chunking strategies MCP & Tool Integration: - Model Context Protocol (MCP) implementation ...

similar foundation models- Prompt engineering and chain-of-thought reasoning RAG & Knowledge Systems:- Retrieval-Augmented Generation (RAG) pipeline implementation- Vector database experience (CockroachDB, Pinecone, or similar)- Embedding model selection and optimisation- Semantic search and similarity matching- Context window management and chunking strategies MCP & Tool Integration:- Model Context Protocol (MCP) implementation ...

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 ...

REST APIs, JSON, and async patterns. Desirable skills/knowledge/experience Experience with vector databases (Cosmos DB with vector search, Redis Enterprise, or Pinecone) and semantic ranking. Knowledge of Azure Machine Learning for training/evaluation pipelines and model registries. Familiarity with Power Platform (AI Builder, Power Automate ...

embeddings, document chunking strategies, indexing, semantic search, and citation/grounding techniques. Experience with vector databases (e.g., Azure Cosmos DB vector search, Redis Enterprise, Pinecone) and reranking strategies. Experience with Git and CI/CD (Azure DevOps or GitHub), unit/integration testing for LLM pipelines, and environment/config ...

researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working — remote-first culture with in-person team sessions for collaboration. Career acceleration — opportunities to own projects, lead development, and shape … Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied AI, AI Applications ...

retrieval systems with large language models. Build and maintain applications using LangChain to orchestrate complex AI workflows. Implement and manage vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus) for fast similarity search and retrieval. Develop embedding pipelines for unstructured data using models like Sentence Transformers, OpenAI, or Hugging Face. Collaborate with … Experience with large language models (GPT, BERT, etc.). Fine-tuning and prompt engineering. Experience with vector similarity search. Knowledge of popular vector DBs: Pinecone, Weaviate, FAISS, Vespa, Milvus. Generating and managing embeddings (using models like SentenceTransformers, OpenAI, Hugging Face). Familiarity with LangChain for building LLM-powered applications. Ability ...