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Applied AI Engineer (Full-Stack)

Pinecone· R&D
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Hybrid (New York City), Hybrid (US Remote)$190k - $270kFull-timePosted today

About the role

Hands-on engineering role building end-to-end AI applications across the stack, combining full-stack development with practical experience in LLM-powered applications and agentic systems.

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.

Qualifications

  • 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.
  • 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.
  • 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.

Skills

Required:Full-Stack EngineeringPythonTypeScriptAPIs & IntegrationLLMs, Embeddings, Vector DatabasesAI Development Tools & APIsProblem Solving & Communication

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
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Pinecone

The vector database to build knowledgeable AI | Pinecone

Pinecone is a fully managed vector database built for AI. Writes are instantly searchable, indexing is automatic, and queries stay fast at any scale.

Vector DatabaseAssistantRAG pipelineCLIMCPCodexGeminiClaude Code
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