--- title: 'Applied AI Engineer (Full-Stack) at Pinecone' canonical: 'https://feeny.ai/job/applied-ai-engineer-full-stack-pinecone-new-york-xdb5c406kpy4' type: 'job' last_seen: '2026-11-02' --- # Applied AI Engineer (Full-Stack) at Pinecone - **Company:** Pinecone - **Location:** New York, NY - **Compensation:** $190k–$270k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-22 - **Last confirmed live:** 2026-11-02 - **Apply:** https://jobs.ashbyhq.com/pinecone/edf2a2a5-64e2-45b8-9f2e-4f354af350b8 ## Job description ## About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. ## About the Team and Role We're looking for an Applied AI Engineer who loves building real applications with AI. You'll work across the stack, from backend services and retrieval pipelines to APIs and user-facing applications, turning new AI capabilities into working solutions. This is a hands-on engineering role for someone who enjoys moving quickly, experimenting with emerging technologies, and owning projects from initial idea to production. You'll work closely with our engineering and product teams, as well as customers and partners, to explore new use cases, build reference applications, and demonstrate what's possible with Pinecone's technology. The ideal candidate combines strong full-stack engineering skills with practical experience building LLM-powered applications and agentic systems. You should be equally comfortable discussing architecture, writing production code, and putting together a working prototype. ## Responsibilities - Design, build, and ship end-to-end AI applications using Pinecone’s retrieval and knowledge infrastructure. - Develop full-stack solutions spanning frontend interfaces, backend services, APIs, data pipelines, and LLM integration. - Build reference applications, integrations, and reusable components that help developers and customers adopt Pinecone. - Experiment with emerging AI patterns, including RAG, agents, tool use, context engineering, and agent memory. - Work with customers, partners, and internal teams to understand real-world problems and translate them into working software. - Evaluate and improve the quality, reliability, latency, and cost of AI-powered applications. - Share technical insights and best practices through code, examples, and technical content. - Bring learnings from building applications back into Pinecone’s product and engineering teams. ## What You’ll Bring to the Table You don't need to check every box, but you should enjoy building software and be excited about what AI makes possible. Full-Stack Engineering - Strong software engineering background with experience designing, building, and shipping production applications. - Proficiency in Python and/or TypeScript, including modern backend frameworks and frontend technologies such as React or Next.js. - Experience building APIs, integrating external services, and working with databases and cloud infrastructure. - Ability to independently take a project from rough requirements through implementation and deployment. Applied AI - Hands-on experience building applications using LLMs, embeddings, vector databases, or retrieval-augmented generation. - Familiarity with modern AI development tools, frameworks, and APIs. - Understanding of the practical challenges of building AI applications, including retrieval quality, evaluation, latency, reliability, and cost. - Curiosity about emerging patterns in agentic applications, context management, and AI-driven workflows. Ownership & Collaboration - A builder's mindset: you enjoy writing code, experimenting, and getting working software into users’ hands. - Comfortable working with ambiguous requirements and making pragmatic technical decisions. - Ability to communicate technical ideas clearly to engineers, customers, and other stakeholders. - Comfortable moving between rapid prototypes and production-quality implementations. - Interest in understanding how developers and customers use the technology and translating that feedback into better solutions. Bonus Points - Experience with Pinecone or other vector databases and search technologies. - Experience building agentic applications, agent memory systems, or complex RAG pipelines. - Contributions to open-source projects, developer tools, or technical communities. - Experience working directly with customers on technical projects. - Experience deploying and operating AI applications in production. ## Perks & Benefits - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend Benefits and eligibility may vary by country of employment. ## About Pinecone ## Company Overview - **One-liner**: Pinecone is the knowledge infrastructure for AI at scale, providing the leading vector database and knowledge engine for building accurate, performant AI applications. - **Entity Type**: Private (backed by Andreessen Horowitz, ICONIQ, Menlo Ventures, Wing Venture Capital) - **Headquarters**: New York City, NY, USA (with an additional office in Tel Aviv, Israel) - **Founded**: 2019 - **Founders**: Edo Liberty ## Core Business - **Primary industry/industries**: Vector database / AI infrastructure / Knowledge management - **Target customers**: B2B – developers, engineering teams of all sizes, enterprise customers building AI applications (search, recommendation, agents, RAG) - **Mission or purpose statement**: "Make AI knowledgeable." ## Products & Services - **Pinecone Vector Database**: Fully managed, serverless vector database optimized for low-latency similarity search at billion-scale with automatic scaling, built-in freshness, and a cloud-native architecture. - **Pinecone Nexus**: Knowledge engine that combines cutting-edge models (embedding, planning, reranking) with flexible query mechanisms (vector, keyword, filtering) for end-to-end retrieval. - **Pinecone Assistant**: A conversational interface built on the vector database for question-answering over custom data. - **Pinecone Dedicated Read Nodes**: Isolated read replicas for high-throughput workloads with strict SLAs. - **Pinecone BYOC (Bring Your Own Cloud)**: Deployment option that runs within a customer’s own cloud environment for compliance and security requirements. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed. - **Key Metric**: Serves more than **10,000 customers** and **1 million developers** worldwide (source: company page). - **Notable Investors/Partners**: Andreessen Horowitz, ICONIQ, Menlo Ventures, Wing Venture Capital. - **Growth Signals**: Rapidly expanding product suite (Nexus, Assistant, MCP Server), hybrid workforce scaling, continuous hiring in engineering and product roles, and growing adoption among enterprises building AI agents. ## Competitive Advantages - **Proprietary Rust-based implementations** of state-of-the-art algorithms delivering industry-leading performance and low latency. - **Cloud-native architecture** that separates storage from compute and reads from writes, enabling hands-free scaling to billions of vectors and thousands of queries per second. - **Fully managed serverless experience** – no capacity planning or infrastructure tuning needed; built-in freshness for dynamic workloads. - **Best-in-class developer experience** with intuitive APIs, SDKs, extensive documentation, and deep ecosystem integrations (e.g., MCP servers, LangChain, LlamaIndex). - **Cost-effective retrieval** via object-storage-based data tiering and multi-tenant resource packing. ## Strategic Focus - Deepening the "knowledge infrastructure" platform to power the next generation of **AI agents** and intelligent applications. - Advancing retrieval quality with sparse-dense embeddings, reranking, and multimodal capabilities. - Scaling enterprise readiness with BYOC, advanced security features, and compliance certifications. - Expanding developer community and ecosystem integrations to maintain leadership in the vector database category. ## Why Work Here - **Work model**: Hybrid in-office/remote with hubs in New York City and Tel Aviv; remote-friendly roles available for many engineering positions. - **Culture & values**: "Be yourself, Be a friend, Be a pro" – emphasis on authenticity, trust, collaboration, and ownership. - **Team**: Work with world-class scientists and engineers who previously built large-scale ML and distributed systems at AWS, Databricks, Google, Microsoft, and Yahoo. - **Benefits**: Competitive base salary + equity, flexible PTO, WFH equipment stipend, annual company retreat and team offsites, comprehensive medical/dental/vision, paid parental leave, mental health resources. - **Growth**: Early-stage enough to have outsized impact but with strong product-market fit and massive adoption; opportunity to shape the future of AI infrastructure. ## Sources 1. [pinecone.io - Company](https://www.pinecone.io/company/) 2. [pinecone.io - Careers](https://www.pinecone.io/careers/) 3. [pinecone.io - Product](https://www.pinecone.io/) 4. [LinkedIn - Pinecone](https://www.linkedin.com/company/pinecone-io) ## Other roles at Pinecone - [Full-Stack Software Engineer, Experience](https://feeny.ai/job/full-stack-software-engineer-experience-pinecone-new-york-kb18j8k3m0w3) — New York, NY - [Developer Advocate](https://feeny.ai/job/developer-advocate-pinecone-san-francisco-5t1spna19f8a) — San Francisco, CA - [Associate Field Engineer](https://feeny.ai/job/associate-field-engineer-pinecone-new-york-br24nmbs7sht) — New York, NY - [Technical Product Marketing Manager (Staff)](https://feeny.ai/job/technical-product-marketing-manager-staff-pinecone-new-york-4z1wddvsp4h6) — New York, NY - [Senior/Staff Software Engineer, Search & Retrieval Infrastructure](https://feeny.ai/job/senior-staff-software-engineer-search-retrieval-infrastructure-pinecone-new-york-fxyre636a1n5) — New York, NY - [Senior/Staff Software Engineer, Search & Retrieval Infrastructure](https://feeny.ai/job/senior-staff-software-engineer-search-retrieval-infrastructure-pinecone-united-b960jp5y27vv) — United States - [Senior/Staff Software Engineer, Database Team](https://feeny.ai/job/senior-staff-software-engineer-database-team-pinecone-new-york-tgpwgddwyp7k) — New York, NY