The opportunity
Location(s): US (remote), Boston (hybrid), or New York (hybrid)
What you'll do
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
What they're looking for
- Mentor engineers at all levels through code reviews, design feedback, and technical guidance
- + years of experience with object-oriented languages such as Java or Kotlin
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or related field
- 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