Senior Software Engineer (AI Agent & Experience Team)

Join 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. 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 GitHub AI Review 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 - Strong foundation in Java, Kotlin, or another object-oriented language - Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling - 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 - 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)