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Pinecone
Pinecone
51 – 200 Employees
Artificial IntelligenceEnterpriseSaaS
Pinecone builds a managed vector database and knowledge platform for teams developing AI applications. Its API supports embedding, upserting, and indexing data for workloads such as multimodal search and classification, helping developers retrieve relevant information from their data. Pinecone serves enterprise customers and offers deployment across AWS, Azure, and Google Cloud, with security and compliance capabilities including SOC 2 Type II certification and HIPAA compliance. The company works in artificial intelligence and enterprise SaaS; its hiring context is not specified in the source.
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Applied AI Engineer, Full Stack

Build full-stack LLM applications, retrieval pipelines, and agentic systems for Pinecone’s AI knowledge platform. Partner with engineering, product, customers, and partners to deliver production-ready solutions.

USUnited StatesNYNew York
$190,000 – $270,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredAI EngineerMachine Learning Engineer
CloudJavaScriptNext.jsPythonReactTypeScript

Description

  • Create and launch end-to-end AI applications with Pinecone’s retrieval and knowledge infrastructure
  • Build full-stack products across user interfaces, backend services, APIs, data pipelines, and LLM integrations
  • Develop reference apps, integrations, and reusable components that support Pinecone adoption
  • Explore retrieval-augmented generation, agents, tool use, context engineering, and agent memory
  • Turn practical customer and partner needs into working software with internal teams
  • Improve AI application quality, reliability, response time, and operating cost
  • Share technical guidance and practices through code, examples, and technical content
  • Bring application development insights to Pinecone’s product and engineering teams

Requirements

  • Background in software engineering, including designing, building, and shipping production applications
  • Proficiency in Python and/or TypeScript
  • Experience with modern backend frameworks and frontend tools such as React or Next.js
  • Experience building APIs, integrating external services, and using databases and cloud infrastructure
  • Ability to take projects from early requirements through implementation and deployment independently
  • Practical experience building applications with LLMs, embeddings, vector databases, or retrieval-augmented generation
  • Familiarity with current AI development tools, frameworks, and APIs
  • Understanding of retrieval quality, evaluation, latency, reliability, and cost in AI applications
  • Experience with Pinecone or other vector databases and search technologies is a plus
  • Experience building agentic applications, agent memory systems, or complex retrieval pipelines is a plus
  • Contributions to open-source projects, developer tools, or technical communities are a plus
  • Experience working directly with customers on technical projects is a plus
  • Experience deploying and operating AI applications in production is a plus

Benefits

  • Comprehensive medical, dental, vision, and mental health coverage
  • 401(k) plan
  • Equity award
  • Flexible time off
  • Paid parental leave
  • Annual company retreat
  • Work-from-home equipment stipend

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