Staff Software Engineer, Voice AI Platform
New
T
ToastRestaurant Software
US (remote), Boston (hybrid), or New York (hybrid)Full-TimeStaff
Salary125,000 - 254,000 USD per year
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Job Details
- Experience
- 8+ years
- Required Skills
- AWSArtificial IntelligenceJavaKotlinPostgresReactDistributed Systems
Requirements
- 8+ 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, including experience with LLMs.
- Experience building and reasoning about AI-powered systems, including nondeterminism, evaluation strategies, observability, and cost management.
- Experience shipping complex, mission-critical production services and owning them long-term.
- Track record of leading multi-person and multi-team projects end-to-end, from design through rollout.
- Deep understanding of distributed systems, scalability, and production reliability.
- Basic familiarity with frontend development.
- Strong cross-team communication and collaboration skills; able to influence direction without formal authority.
- Actively uses AI coding tools (e.g., Claude Code, Cursor) and encourages proficiency in others.
Responsibilities
- 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.
- Shape the technical direction on your team and beyond by making architectural decisions, defining patterns, and reducing complexity.
- 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.
- Set and hold the bar for engineering quality and best practices through standards, patterns, and written guidance.
- Mentor engineers at all levels through code reviews, design feedback, and technical guidance.
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