Applied AI Engineer (Full-Stack)

Pinecone•New York, NY
•$190,000 - $270,000

About The Position

Pinecone is hiring an Applied AI Engineer to build practical, end-to-end applications using AI. The role spans backend services, retrieval pipelines, APIs, and user-facing applications, translating emerging AI capabilities into production solutions. The engineer will work with engineering and product teams, customers, and partners to explore use cases, build reference applications, and demonstrate Pinecone technology. This hands-on position involves moving quickly, experimenting with emerging technologies, and owning projects from initial idea through production. The ideal candidate combines full-stack engineering skills with practical experience developing LLM-powered applications and agentic systems, and can contribute to architecture discussions, production code, and working prototypes.

Requirements

  • Strong software engineering background, including 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.
  • 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 practical AI application challenges, including retrieval quality, evaluation, latency, reliability, and cost.
  • Ability to communicate technical ideas clearly to engineers, customers, and other stakeholders.
  • Comfort working with ambiguous requirements and making pragmatic technical decisions.
  • Comfort moving between rapid prototypes and production-quality implementations.
  • Interest in understanding how developers and customers use the technology and translating feedback into better solutions.
  • Enjoyment of writing code, experimenting, and getting working software into users’ hands.

Nice To Haves

  • 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.
  • Curiosity about emerging patterns in agentic applications, context management, and AI-driven workflows.

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.

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
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