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HyperspellHyperspellSan Francisco, CA

Product Engineer

Builds product for AI agent memory and context layer, focusing on backend systems, developer SDKs/APIs, integrations with tools like Slack/Notion, and agent primitives. Requires 3+ years backend/fullstack experience, Python/TypeScript fluency, and strong product judgment for onsite SF role.

150k – 220k
On-site3+ YOEBackend Engineering

About the role

Responsibilities

  • Build developer experience and SDKs: APIs, SDKs, docs, examples, and integration flows.
  • Develop agent memory primitives: context, memory, retrieval, freshness, relevance systems (episodic memory, procedural memory, context generation, query expansion, agent-ready summaries).
  • Build and improve integrations and data pipelines (Slack, Gmail, Notion, Drive, Linear, other company knowledge sources).
  • Conduct product discovery through customer proximity: talk to developers, identify pain points, build reusable product improvements.
  • Lead zero-to-one product development from idea to shipped product.

Requirements

  • 3+ years experience building product as backend, full-stack, product, AI, or developer tools engineer.
  • Fluency in Python and TypeScript.
  • Strong backend engineering ability.
  • Experience or strong interest in AI agents, LLM systems, retrieval, memory, context engineering, or developer tools.
  • Strong product judgment and bias toward shipping.
  • Clear communication and good user empathy.
  • Enjoyment of building developer tools.
  • Ability to work onsite in San Francisco.

Compensation

  • $150k-$220k base salary.
  • 0.5%-1.5% equity.
  • $10,000 dream work setup budget.
  • Health, dental, vision coverage and generous health benefits.

Skills

PythonTypeScriptAPIsSDKsAI AgentsLlm SystemsRetrievalIntegrationsBackend EngineeringData Pipelines
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