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Applied AI Engineer (Full-Stack)

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Applied AI Engineer (Full-Stack) in USA

  • Pinecone
  • Full time
  • Email
  • Remote

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 for developers and customers.
  • Experiment with RAG, agents, tool use, context engineering, and agent memory.
  • Collaborate with customers, partners, engineering, and product teams to translate real-world problems 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 application-building learnings back into Pinecone’s product and engineering teams.

Requirements

  • Strong software engineering experience designing, building, and shipping production applications.
  • Proficiency in Python and/or TypeScript, with experience using 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 projects from rough requirements through implementation and deployment.
  • Hands-on experience building applications with LLMs, embeddings, vector databases, or retrieval-augmented generation.
  • Familiarity with modern AI development tools, frameworks, and APIs.
  • Understanding of retrieval quality, evaluation, latency, reliability, and cost challenges in AI applications.
  • Curiosity about agentic applications, context management, and AI-driven workflows.
  • Ability to communicate technical ideas clearly and move between rapid prototypes and production-quality implementations.
  • Preferred experience includes Pinecone or other vector databases and search technologies, agentic applications, agent memory systems, complex RAG pipelines, open-source or developer-tool contributions, customer-facing technical projects, and operating AI applications in production.

Benefits

  • Comprehensive medical, dental, vision, and mental health coverage, with eligibility varying by country.
  • 401(k) plan.
  • Equity award.
  • Flexible time off.
  • Paid parental leave.
  • Annual company retreat.
  • Work-from-home equipment stipend.
  • Benefits and eligibility may vary by country of employment.

Salary: $190k - $270k/yr

Pinecone

Pinecone builds a managed vector database and knowledge engine used by developers and ML teams to power search, retrieval, and other AI application features. It sells a cloud service with APIs and tooling for production-scale similarity search and retrieval-augmented generation. Founded in 2019 a...

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