Pinecone - Applied AI Engineer (Full-Stack)
Requirements
• 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 • 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. • 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.
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. • Bring learnings from building applications back into Pinecone’s product and engineering teams.
Benefits
• $190K – $270K • Offers Equity • Comprehensive health coverage including medical, dental, vision, and mental health resources • Flexible time off • Paid parental leave • Annual Company Retreat • WFH Equipment Stipend • Benefits and eligibility may vary by country of employment.
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