Senior Software Engineer (AI Agent & Experience Team)

Toast, a leading restaurant technology platform, as a Senior Software Engineer on the AI Agent & Experience team. In this role, you will build the infrastructure and developer tooling that makes AI a reliable and scalable force multiplier across the entire product development lifecycle.

Responsibilities

• You will design, build, and ship features across AI platform infrastructure, develop autonomous agents, and contribute to the internal plugin marketplace.
• You will also collaborate with engineers, product managers, and platform teams to understand developer needs and translate them into reliable platform solutions.
• Concevoir, construire et expédier des fonctionnalités pour l'infrastructure de la plateforme d'IA, y compris le proxy LLM, la gestion des clés d'IA et les pipelines d'observabilité.
• Développer et étendre des agents autonomes qui participent au cycle de vie du développement logiciel, tels que l'application AI Review GitHub et les intégrations de la plateforme de développement MCP.
• Collaborer avec des ingénieurs, des chefs de produit et des équipes de plateforme pour comprendre les besoins des développeurs et les traduire en solutions de plateforme fiables.
• Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
• Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions

Requirements

• Strong foundation in Java, Kotlin, or another object-oriented language
• Bachelor’s Degree with relevant experience of 5+ years in designing and implementing scalable backend services
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
• Experience with distributed systems, REST APIs, and cloud-native infrastructure

Preferred

• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)