Currently tracking 24 active AI roles, up 72% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $94k–$368k (avg $209k).
Enterprise · Restaurant POS
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer, AI Foundations Staff Software Engineer for Toast's AI Foundations team, focusing on building core AI platform infrastructure like LLM Proxy and observability pipelines, as well as architecting and delivering autonomous agents for the SDLC. The role involves leading technical design, driving adoption of agentic practices, and mentoring engineers. | AgentServe | 8 |
| Senior Analyst, Enterprise Risk Management This role focuses on building and deploying AI-powered tools and automation workflows within an enterprise risk management program. Key responsibilities include developing risk dashboards, administering risk management systems, and specifically designing, building, testing, and deploying AI tools such as automated risk assessment assistants and LLM-based workflows. The role requires experience with Generative AI for process automation and data analysis. |
| Agent |
| 7 |
| Senior Software Engineer, AI Foundations Senior Software Engineer on Toast's AI Foundations team, building internal AI platform infrastructure including LLM proxy, agentic workflows, and a plugin marketplace to enable AI-native development practices across the company. | AgentServe | 7 |
| Senior Data Scientist Senior Data Scientist at Toast, focusing on end-to-end development and production deployment of agentic AI workflows and ML solutions within the fintech domain. Requires strong engineering mindset, Python/SQL proficiency, and experience with modern ML techniques. | Agent | 7 |
| Lead, Credit Risk Analytics & AI Enablement Lead Analyst role at Toast Capital focusing on designing and deploying AI-powered workflows for credit risk functions. The role involves identifying opportunities to improve underwriting, portfolio monitoring, and risk operations by implementing internal AI tools like copilots and assistants, leveraging structured data and LLM platforms. Requires strong credit risk intuition, analytical skills, and technical curiosity in AI and automation. | Agent | 7 |