Staff Software Engineer (Voice AI Platform)

• 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 Staff Software Engineer to join the Voice AI Team
• On the 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
• As a Staff Software Engineer on this team, you’ll take ownership of significant projects end-to-end: designing systems, driving execution across the team, and making the technical decisions that shape how the platform grows
• You’ll work closely with product, engineering, and stakeholders across Toast to turn ambiguous problems into reliable, scalable systems
• Design, build, deploy, and maintain highly resilient and scalable backend services, applications, and core platform components supporting Toast’s Voice AI platform used across teams
• Conceive and lead complex, cross-cutting projects from design through production, owning outcomes and driving alignment across stakeholders and across a broad range of stakeholders
• Shape the technical direction on your team and beyond by making architectural decisions, defining patterns, and reducing complexity for the engineers and teams that depend on your work
• Build and evolve integrations with AI platforms and internal Toast systems, making pragmatic tradeoffs between speed, reliability, and long-term scalability
• Establish and implement patterns for observability, monitoring, and evaluation frameworks for AI-powered systems, using production data to understand and continuously improve system behavior
• Set and hold the bar for engineering quality and best practices through standards, patterns, and written guidance that others naturally adopt, raising the bar for the team and the broader organization
• Mentor engineers at all levels through code reviews, design feedback, and technical guidance
• Our backend services follow a microservice architecture written in Kotlin and Java using DropWizard, running on AWS (DynamoDB, RDS, Lambda). We store data in sharded Postgres databases and have our own platform for user management, canary deployments, and load balancing. Our web front-end is built with React and ES6

Benefits

• Peer and company recognition programs
• Unlimited Vacation
• Sabbatical opportunity after five years
• Professional Development Reimbursement Program
• Commitment to Employee Wellness through resources such as a quarterly Wellness Stipend
• Various peer and company recognition programs
• 401(k) and matching
• Medical, Dental, & Vision Coverage
• Subsidized backup childcare
• Mental Health Benefits- 8+ years of experience with object-oriented languages such as Java or Kotlin
• Basic familiarity with frontend development
• Experience building and reasoning about AI-powered systems, including nondeterminism, evaluation strategies, observability, and cost management
• 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
• 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 both within your team and across the broader organization
• Experience with voice or conversational AI platforms is a plus, but not required
• Actively uses AI coding tools (e.g., Claude Code, Cursor) in day-to-day development and have caused others to become more proficient with AI coding tools
• Track record of leading multi-person and multi-team projects end-to-end, from design through rollout
• Experience shipping complex, mission-critical production services and owning them long-term
• Deep understanding of distributed systems, scalability, and production reliability