Software Engineer II, Voice AI Platform - Toast

Location(s): US (remote), Boston (hybrid), or New York (hybrid)

Who We Are

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. We are looking for a Software Engineer II to join the Voice AI Team.

Onthe Voice AI Team, our mission is to build and operate the voice platform that powers Toast and to ship novel applications on top of it that create real value across Toast 's customer base. This is a greenfield space where the platform and its use cases are being defined together, and the work you do here will be foundational to how Toast uses voice AI for years to come.

About this roll* (Responsibilities)

As a Software Engineer II on this team, you'll help design and build the backend services, integrations, and tooling that make the platform reliable, scalable, and useful, working closely with engineers, product managers, and stakeholders across Toast to bring new capabilities to life. Here’s what you’ll be doing:

• Design, build, deploy, and maintain highly resilient and scalable backend services supporting Toast 's Voice AI platform
• Join a collaborative team to develop robust, production-quality software using modern engineering practices
• Contribute to complex projects that improve functionality and reliability for our customers
• Participate in code reviews and design processes to ensure implementations meet requirements
• Participate in architectural discussions and influence the technical roadmap
• Advocate for best coding practices to raise the bar for you, your team, and the company
• Mentor and provide technical guidance to other team members

Do you have the right ingredients*? (Requirements)

• 2+ years of experience with object-oriented languages such as Java or Kotlin
• Basic familiarity with frontend development on small scale projects
• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or related field.
• Experience delivering high-quality, reliable services or libraries to production
• Understanding of automated testing, quality, and SDLC best practices for backend systems
• Proficient with relational databases and alternative data stores
• Experience with distributed systems, enterprise messaging systems, and/or microservices
• Excellent communication skills on complex technical topics
• Comfortable working with AI-powered systems, including an understanding of how nondeterminism, observability, and cost management differ from traditional software
• Actively uses AI coding tools (e.g., Claude Code, Cursor) in day-to-day development
• Passionate about technology and learning new things

Our Tech Stack

Our backend services follow a microservice archit