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CircleBack

Fullstack Engineer

San Francisco$145k–$240kfulltimemidAdded today

About this role

Join Circleback as a Fullstack Engineer to build AI-powered meeting intelligence and conversation management across web, desktop, and mobile platforms. You'll work on greenfield problems like surfacing context from thousands of conversations, shipping end-to-end features, and defining architecture for a rapidly growing Y Combinator-backed startup.

What you'll do

  • Ship full-stack features across React/Next.js web, Electron/Swift desktop, and React Native mobile apps
  • Design and architect new systems while maintaining high code quality standards
  • Drive product and technical decisions alongside implementation
  • Build AI-powered foundations including search, transcription, recording, and automations
  • Experiment with latest AI models and integrate new techniques into production
  • Create reusable tools and processes that improve team productivity over time

What they're looking for

  • React and Next.js
  • React Native or cross-platform mobile development
  • Electron or desktop application development
  • Backend API design and database modeling
  • AI/ML integration and prompt engineering
  • System architecture and technical mentorship
  • Product sense and user-focused design thinking
  • Swift (preferred for iOS work)

Benefits

  • Work on novel, greenfield problems with no established playbook
  • Small team environment with significant ownership and impact
  • Profitable, growing company with viral word-of-mouth adoption
  • Opportunity to mentor engineers and shape technical culture
  • In-person paid work trial in San Francisco included in interview process
  • Software trusted daily by thousands of paying customers
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CircleBack

CircleBack builds AI-powered meeting intelligence and conversation management tools that transform how teams capture and use meeting insights. The company is hiring software engineers, design engineers, and interns to develop full-stack features across web, desktop, and mobile platforms, focusing on transcription, search, and AI automation capabilities.

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Likely interview questions

  • Describe a time you shipped a complex end-to-end feature across multiple platforms—how did you approach the architecture and what trade-offs did you make?
  • Tell us about a decision where you invested extra time building something reusable instead of a quick solution—what was the impact on your team?
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