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Full Stack AI Engineer

Full-Stack AI Engineer architects AI-native codebases, builds end-to-end features from React frontend to Python/Django backend, and applies LLMs/AI agents to ship innovative products in a fast-paced environment.

220k – 270kMountain View, CAFullstack EngineeringOnsite

About the role

Responsibilities

  • Architect the AI-Native Codebase: Take ownership of redesigning the structure of a fast-moving, AI-generated codebase for scalability, maintainability, and production-readiness.
  • Build Full-Stack, End to End: Own features from front-end (React) to back-end (Node.js, Django, Python), shipping prototypes to production.
  • Applied AI Engineering: Work hands-on with LLMs, AI agents, tool calling, and memory systems to solve real product challenges.
  • Shape the Product: Collaborate with product and marketing to define what gets built, thinking about users and outcomes.

Requirements

  • Experience working on AI-native codebases with strong technical judgment.
  • Full-Stack Generalist: Comfortable across the entire stack (React frontend, Node.js or Django backend).
  • Zero-to-One Builder: Shipped products from scratch, thrive in ambiguity.
  • Use Cursor and other AI coding tools fluently, knowing their limits.

Nice to Haves

  • Multimodal AI Engineering (Video ML/Video AI).
  • Background blending product thinking with technical depth.

Tech Stack

GCP · TypeScript · Python · React · Node.js · Redis · MongoDB · Cloud Storage · LLMs · AI Agents

Skills

ReactNode.jsDjangoPythonTypeScriptGCPLLMsAI AgentsRedisMongoDB

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