Staff Software Engineer - AI/Agent Engineer, Care Automation
$151k - $309k • Remote • Remote, USA
Posted 8h ago
Job Location
Remote, USA
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Agent Engineer
About the job
Toast is seeking an AI/Agent Engineer to join the Care Automation team. This team builds the systems and automations that power how Toast supports its customers, connecting platforms, workflows, and integrations for Customer Care Agents. In this role, you will be instrumental in defining how intelligent automation transforms care operations at Toast. You will focus on building the AI layer across our care systems, integrating large language models, agentic frameworks, and workflow automation to reduce manual effort and enhance outcomes for both agents and customers. You will design and build AI-powered automations that work across our Care tool suite, partnering closely with software engineers, Salesforce developers, and operations stakeholders to deliver production-grade AI systems.
Responsibilities
- Design, build, and operate AI-powered automations and agentic workflows to help Customer Care Agents resolve issues faster.
- Build and maintain integrations between LLM-based systems and our care technology stack (Salesforce, Amazon Connect, iPaaS).
- Prototype and iterate on agentic solutions capable of autonomous actions across care systems with human-in-the-loop checkpoints.
- Write automated tests and participate in code reviews to ensure code quality and system reliability.
- Monitor AI system performance, respond to incidents, and iterate based on operational data and agent feedback.
- Translate care workflows into intelligent, automated solutions by partnering with engineering and operations stakeholders.
- Leverage AI-augmented development tools to improve development velocity and code quality.
Requirements
- 5+ years of software engineering experience, with hands-on experience building AI/ML systems in production.
- Practical experience with large language models, agentic frameworks (e.g., LangChain, LangGraph), and prompt engineering.
- Strong backend engineering skills in Python, Java, or Go.
- Experience with event-driven architectures and building integrations across enterprise systems.
- Ability to evaluate trade-offs between automation accuracy, latency, and cost in production AI systems.
- Bachelor's degree in Computer Science or equivalent practical experience.
Benefits
- Competitive compensation and benefits programs
- Cash compensation (overtime, bonus/commissions if eligible)
- Equity
- Benefits for a healthy lifestyle with flexibility
- Learn more about benefits at https://careers.toasttab.com/toast-benefits