Principal Software Engineer (AI Foundations)
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on May 17, 2026. Toast scores B on the Alion truth index.
Join Toast, a leading restaurant technology platform, as a Principal Software Engineer in the AI Foundations team. In this role, you will set the technical direction for the AI Foundations platform, lead full-stack design and delivery, and mentor engineers across all levels. You will collaborate closely with product and platform leadership to shape the AI Foundations roadmap and translate strategy into executable technical plans. This position offers unlimited vacation, a sabbatical opportunity after five years, and various other benefits.
Missions
- Definir y dirigir la arquitectura técnica de la plataforma AI Foundations, abarcando servicios backend, herramientas frontend e integraciones de terceros.
- Liderar el diseño y la entrega de extremo a extremo a través del proxy LLM, la gestión de claves de IA, las tuberías de observabilidad y el mercado de complementos interno.
- Mentorar y liderar técnicamente a ingenieros de todos los niveles a través de revisiones de diseño, revisiones de código y emparejamiento.
Profil recherché
- Demonstrated experience leading technical architecture for a platform, product, or engineering team- Comfort with a rapidly changing technical landscape and a bias towards action over analysis paralysis
- Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and experience extending them through custom plugins, skills, or hooks
- 10+ years of experience designing and delivering scalable software systems, with a strong full-stack background spanning backend services and frontend or developer-facing interfaces
- Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure
- Experience with MCP, tool use patterns, or agentic frameworks
- Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies, with demonstrated experience building user-facing product interfaces
- Proven ability to mentor engineers and raise the technical bar of a team through standards, reviews, and hands-on guidance
- Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
- Experience with machine learning concepts, model evaluation, or ML infrastructure
- Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)
- Experience building developer experience platforms or internal tooling