Senior Software Engineer, Voice AI

Toast Toast · Enterprise · United States · Remote · R & D : Engineering : Guest

Senior Software Engineer on the Voice AI team at Toast, focusing on building and advancing restaurant Voice products. The role involves improving the core Voice AI stack, implementing LLMs and AI inference, and working on low-latency AI, audio processing, and system architecture for large-scale consumer experiences. Requires fullstack web application development experience with backend (Java/Kotlin, Python) and frontend (React) technologies, AWS, Docker, Git, and database design.

What you'd actually do

  1. Design, scope, and implement cutting-edge solutions using a mix of technologies.
  2. Raise the bar to boost quality, performance, usability, and scalability of the Voice AI product.
  3. Collaborate closely with Design and Product stakeholders to chase product-market fit.
  4. Drive discovery of high-impact opportunities with your team and turn them into reality.
  5. Be an awesome teammate who’s all in on collaboration and collective success.

Skills

Required

  • 5+ years of experience developing fullstack web applications
  • Proficient in backend technologies like Java/Kotlin, and Python.
  • Skilled with frontend frameworks like React, and CSS frameworks like Tailwind or Bootstrap.
  • Experienced in building on AWS, with tools like Docker and Git.
  • Comfortable turning high-fidelity UX designs from Figma into reality.
  • Adept at designing databases and architectures that scale and perform well.
  • Enthusiastic to employ AI-based tooling to expand impact and improve work.
  • Proven at implementing LLMs and AI inference for real-world applications by utilizing evolving best practices for AI-product building.

Nice to have

  • AI-based tooling

What the JD emphasized

  • 5+ years of experience developing fullstack web applications
  • Proven at implementing LLMs and AI inference for real-world applications by utilizing evolving best practices for AI-product building.

Other signals

  • building and advancing Toast’s restaurant Voice products
  • cutting edge of low-latency AI, audio processing, and system architecture
  • rigorously measures and iterates on product performance
  • products built for massive scale and exacting product quality
  • improving the core Voice AI stack
  • implementing LLMs and AI inference for real-world applications