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Senior Software Engineer (Voice AI Platform)

Toast · United States

External listingfull-timeabout 1 month ago

About The Role

Join Toast, a leading restaurant technology platform, as a Senior Software Engineer specializing in Voice AI. In this role, you will take ownership of significant projects, design systems, drive execution across the team, and make technical decisions that shape the platform's growth. You will work closely with product, engineering, and stakeholders to turn ambiguous problems into reliable, scalable systems. Your responsibilities will include designing, building, deploying, and maintaining backend services and applications, leading complex projects, shaping the team's technical direction, and mentoring engineers. Enjoy benefits such as unlimited vacation, professional development reimbursement, and comprehensive health coverage.

  • Design, build, deploy, and maintain highly resilient and scalable backend services and applications supporting Toast's Voice AI platform.
  • Lead complex, cross-cutting projects from design through production, owning outcomes and driving alignment across stakeholders.
  • Shape the team's technical direction by making architectural decisions, defining patterns, and reducing complexity for the engineers around you.
  • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or related field
  • Strong cross-team communication and collaboration skills; able to influence direction without formal authority
  • Experience shipping complex, mission-critical production services and owning them long-term
  • Actively uses AI coding tools (e.g., Claude Code, Cursor) in day-to-day development
  • Experience with voice or conversational AI platforms is a plus, but not required
  • Deep understanding of distributed systems, scalability, and production reliability
  • Track record of leading multi-person projects end-to-end, from design through rollout
  • 5+ years of experience with object-oriented languages such as Java or Kotlin
  • Experience developing AI-integrated products or features, with a practical understanding of how to ship and iterate on systems that incorporate LLMs or other AI capabilities
  • Basic familiarity with frontend development on small scale projects
  • Experience building and reasoning about AI-powered systems, including nondeterminism, evaluation strategies, observability, and cost management

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